chore: update lance dependency to v3.0.0-beta.1

2026-03-28 19:40:39 +00:00 · 2026-02-04 04:10:07 +00:00
141 changed files with 4205 additions and 64718 deletions
--- a/.bumpversion.toml
+++ b/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.27.0-beta.2"
+current_version = "0.25.0-beta.0"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/.github/workflows/cargo-publish.yml
+++ b/.github/workflows/cargo-publish.yml
@@ -42,7 +42,7 @@ jobs:
    name: Report Workflow Failure
    runs-on: ubuntu-latest
    needs: [build]
-    if: always() && failure() && startsWith(github.ref, 'refs/tags/v')
+    if: always() && (github.event_name == 'release' || github.event_name == 'workflow_dispatch')
    permissions:
      contents: read
      issues: write
--- a/.github/workflows/codex-fix-ci.yml
+++ b/.github/workflows/codex-fix-ci.yml
@@ -1,173 +0,0 @@
-name: Codex Fix CI
-
-on:
-  workflow_dispatch:
-    inputs:
-      workflow_run_url:
-        description: "Failing CI workflow run URL (e.g., https://github.com/lancedb/lancedb/actions/runs/12345678)"
-        required: true
-        type: string
-      branch:
-        description: "Branch to fix (e.g., main, release/v2.0, or feature-branch)"
-        required: true
-        type: string
-      guidelines:
-        description: "Additional guidelines for the fix (optional)"
-        required: false
-        type: string
-
-permissions:
-  contents: write
-  pull-requests: write
-  actions: read
-
-jobs:
-  fix-ci:
-    runs-on: warp-ubuntu-latest-x64-4x
-    timeout-minutes: 60
-    env:
-      CC: clang
-      CXX: clang++
-    steps:
-      - name: Show inputs
-        run: |
-          echo "workflow_run_url = ${{ inputs.workflow_run_url }}"
-          echo "branch = ${{ inputs.branch }}"
-          echo "guidelines = ${{ inputs.guidelines }}"
-
-      - name: Checkout Repo
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ inputs.branch }}
-          fetch-depth: 0
-          persist-credentials: true
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-
-      - name: Install Codex CLI
-        run: npm install -g @openai/codex
-
-      - name: Install Rust toolchain
-        uses: dtolnay/rust-toolchain@stable
-        with:
-          toolchain: stable
-          components: clippy, rustfmt
-
-      - uses: Swatinem/rust-cache@v2
-
-      - name: Install system dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y protobuf-compiler libssl-dev
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-
-      - name: Install Python dependencies
-        run: |
-          pip install maturin ruff pytest pyarrow pandas polars
-
-      - name: Set up Java
-        uses: actions/setup-java@v4
-        with:
-          distribution: temurin
-          java-version: '11'
-          cache: maven
-
-      - name: Install Node.js dependencies for TypeScript bindings
-        run: |
-          cd nodejs
-          npm ci
-
-      - name: Configure git user
-        run: |
-          git config user.name "lancedb automation"
-          git config user.email "robot@lancedb.com"
-
-      - name: Run Codex to fix CI failure
-        env:
-          WORKFLOW_RUN_URL: ${{ inputs.workflow_run_url }}
-          BRANCH: ${{ inputs.branch }}
-          GUIDELINES: ${{ inputs.guidelines }}
-          GITHUB_TOKEN: ${{ secrets.ROBOT_TOKEN }}
-          GH_TOKEN: ${{ secrets.ROBOT_TOKEN }}
-          OPENAI_API_KEY: ${{ secrets.CODEX_TOKEN }}
-        run: |
-          set -euo pipefail
-
-          cat <<EOF >/tmp/codex-prompt.txt
-          You are running inside the lancedb repository on a GitHub Actions runner. Your task is to fix a CI failure.
-
-          Input parameters:
-          - Failing workflow run URL: ${WORKFLOW_RUN_URL}
-          - Branch to fix: ${BRANCH}
-          - Additional guidelines: ${GUIDELINES:-"None provided"}
-
-          Follow these steps exactly:
-
-          1. Extract the run ID from the workflow URL. The URL format is https://github.com/lancedb/lancedb/actions/runs/<run_id>.
-
-          2. Use "gh run view <run_id> --json jobs,conclusion,name" to get information about the failed run.
-
-          3. Identify which jobs failed. For each failed job, use "gh run view <run_id> --job <job_id> --log-failed" to get the failure logs.
-
-          4. Analyze the failure logs to understand what went wrong. Common failures include:
-             - Compilation errors
-             - Test failures
-             - Clippy warnings treated as errors
-             - Formatting issues
-             - Dependency issues
-
-          5. Based on the analysis, fix the issues in the codebase:
-             - For compilation errors: Fix the code that doesn't compile
-             - For test failures: Fix the failing tests or the code they test
-             - For clippy warnings: Apply the suggested fixes
-             - For formatting issues: Run "cargo fmt --all"
-             - For other issues: Apply appropriate fixes
-
-          6. After making fixes, verify them locally:
-             - Run "cargo fmt --all" to ensure formatting is correct
-             - Run "cargo clippy --workspace --tests --all-features -- -D warnings" to check for issues
-             - Run ONLY the specific failing tests to confirm they pass now:
-               - For Rust test failures: Run the specific test with "cargo test -p <crate> <test_name>"
-               - For Python test failures: Build with "cd python && maturin develop" then run "pytest <specific_test_file>::<test_name>"
-               - For Java test failures: Run "cd java && mvn test -Dtest=<TestClass>#<testMethod>"
-               - For TypeScript test failures: Run "cd nodejs && npm run build && npm test -- --testNamePattern='<test_name>'"
-               - Do NOT run the full test suite - only run the tests that were failing
-
-          7. If the additional guidelines are provided, follow them as well.
-
-          8. Inspect "git status --short" and "git diff" to review your changes.
-
-          9. Create a fix branch: "git checkout -b codex/fix-ci-<run_id>".
-
-          10. Stage all changes with "git add -A" and commit with message "fix: resolve CI failures from run <run_id>".
-
-          11. Push the branch: "git push origin codex/fix-ci-<run_id>". If the remote branch exists, delete it first with "gh api -X DELETE repos/lancedb/lancedb/git/refs/heads/codex/fix-ci-<run_id>" then push. Do NOT use "git push --force" or "git push -f".
-
-          12. Create a pull request targeting "${BRANCH}":
-              - Title: "ci: <short summary describing the fix>" (e.g., "ci: fix clippy warnings in lancedb" or "ci: resolve test flakiness in vector search")
-              - First, write the PR body to /tmp/pr-body.md using a heredoc (cat <<'PREOF' > /tmp/pr-body.md). The body should include:
-                - Link to the failing workflow run
-                - Summary of what failed
-                - Description of the fixes applied
-              - Then run "gh pr create --base ${BRANCH} --body-file /tmp/pr-body.md".
-
-          13. Display the new PR URL, "git status --short", and a summary of what was fixed.
-
-          Constraints:
-          - Use bash commands for all operations.
-          - Do not merge the PR.
-          - Do not modify GitHub workflow files unless they are the cause of the failure.
-          - If any command fails, diagnose and attempt to fix the issue instead of aborting immediately.
-          - If you cannot fix the issue automatically, create the PR anyway with a clear explanation of what you tried and what remains to be fixed.
-          - env "GH_TOKEN" is available, use "gh" tools for GitHub-related operations.
-          EOF
-
-          printenv OPENAI_API_KEY | codex login --with-api-key
-          codex --config shell_environment_policy.ignore_default_excludes=true exec --dangerously-bypass-approvals-and-sandbox "$(cat /tmp/codex-prompt.txt)"
--- a/.github/workflows/codex-update-lance-dependency.yml
+++ b/.github/workflows/codex-update-lance-dependency.yml
@@ -86,17 +86,16 @@ jobs:
          You are running inside the lancedb repository on a GitHub Actions runner. Update the Lance dependency to version ${VERSION} and prepare a pull request for maintainers to review.

          Follow these steps exactly:
-          1. Use script "ci/set_lance_version.py" to update Lance Rust dependencies. The script already refreshes Cargo metadata, so allow it to finish even if it takes time.
-          2. Update the Java lance-core dependency version in "java/pom.xml": change the "<lance-core.version>...</lance-core.version>" property to "${VERSION}".
-          3. Run "cargo clippy --workspace --tests --all-features -- -D warnings". If diagnostics appear, fix them yourself and rerun clippy until it exits cleanly. Do not skip any warnings.
-          4. After clippy succeeds, run "cargo fmt --all" to format the workspace.
-          5. Ensure the repository is clean except for intentional changes. Inspect "git status --short" and "git diff" to confirm the dependency update and any required fixes.
-          6. Create and switch to a new branch named "${BRANCH_NAME}" (replace any duplicated hyphens if necessary).
-          7. Stage all relevant files with "git add -A". Commit using the message "${COMMIT_TYPE}: update lance dependency to v${VERSION}".
-          8. Push the branch to origin. If the remote branch already exists, delete it first with "gh api -X DELETE repos/lancedb/lancedb/git/refs/heads/${BRANCH_NAME}" then push with "git push origin ${BRANCH_NAME}". Do NOT use "git push --force" or "git push -f".
-          9. env "GH_TOKEN" is available, use "gh" tools for github related operations like creating pull request.
-          10. Create a pull request targeting "main" with title "${COMMIT_TYPE}: update lance dependency to v${VERSION}". First, write the PR body to /tmp/pr-body.md using a heredoc (cat <<'EOF' > /tmp/pr-body.md). The body should summarize the dependency bump, clippy/fmt verification, and link the triggering tag (${TAG}). Then run "gh pr create --body-file /tmp/pr-body.md".
-          11. After creating the PR, display the PR URL, "git status --short", and a concise summary of the commands run and their results.
+          1. Use script "ci/set_lance_version.py" to update Lance dependencies. The script already refreshes Cargo metadata, so allow it to finish even if it takes time.
+          2. Run "cargo clippy --workspace --tests --all-features -- -D warnings". If diagnostics appear, fix them yourself and rerun clippy until it exits cleanly. Do not skip any warnings.
+          3. After clippy succeeds, run "cargo fmt --all" to format the workspace.
+          4. Ensure the repository is clean except for intentional changes. Inspect "git status --short" and "git diff" to confirm the dependency update and any required fixes.
+          5. Create and switch to a new branch named "${BRANCH_NAME}" (replace any duplicated hyphens if necessary).
+          6. Stage all relevant files with "git add -A". Commit using the message "${COMMIT_TYPE}: update lance dependency to v${VERSION}".
+          7. Push the branch to origin. If the branch already exists, force-push your changes.
+          8. env "GH_TOKEN" is available, use "gh" tools for github related operations like creating pull request.
+          9. Create a pull request targeting "main" with title "${COMMIT_TYPE}: update lance dependency to v${VERSION}". First, write the PR body to /tmp/pr-body.md using a heredoc (cat <<'EOF' > /tmp/pr-body.md). The body should summarize the dependency bump, clippy/fmt verification, and link the triggering tag (${TAG}). Then run "gh pr create --body-file /tmp/pr-body.md".
+          10. After creating the PR, display the PR URL, "git status --short", and a concise summary of the commands run and their results.

          Constraints:
          - Use bash commands; avoid modifying GitHub workflow files other than through the scripted task above.
--- a/.github/workflows/nodejs.yml
+++ b/.github/workflows/nodejs.yml
@@ -8,8 +8,6 @@ on:
    paths:
      - Cargo.toml
      - nodejs/**
-      - rust/**
-      - docs/src/js/**
      - .github/workflows/nodejs.yml
      - docker-compose.yml

@@ -78,11 +76,8 @@ jobs:
        fetch-depth: 0
        lfs: true
    - uses: actions/setup-node@v3
-      name: Setup Node.js 20 for build
      with:
-        # @napi-rs/cli v3 requires Node >= 20.12 (via @inquirer/prompts@8).
-        # Build always on Node 20; tests run on the matrix version below.
-        node-version: 20
+        node-version: ${{ matrix.node-version }}
        cache: 'npm'
        cache-dependency-path: nodejs/package-lock.json
    - uses: Swatinem/rust-cache@v2
@@ -90,16 +85,12 @@ jobs:
      run: |
        sudo apt update
        sudo apt install -y protobuf-compiler libssl-dev
+        npm install -g @napi-rs/cli
    - name: Build
      run: |
        npm ci --include=optional
        npm run build:debug -- --profile ci
-    - uses: actions/setup-node@v3
-      name: Setup Node.js ${{ matrix.node-version }} for test
-      with:
-        node-version: ${{ matrix.node-version }}
-    - name: Compile TypeScript
-      run: npm run tsc
+        npm run tsc
    - name: Setup localstack
      working-directory: .
      run: docker compose up --detach --wait
@@ -152,6 +143,7 @@ jobs:
    - name: Install dependencies
      run: |
        brew install protobuf
+        npm install -g @napi-rs/cli
    - name: Build
      run: |
        npm ci --include=optional
--- a/.github/workflows/npm-publish.yml
+++ b/.github/workflows/npm-publish.yml
@@ -128,13 +128,16 @@ jobs:
          - target: x86_64-unknown-linux-musl
            # This one seems to need some extra memory
            host: ubuntu-2404-8x-x64
+            # https://github.com/napi-rs/napi-rs/blob/main/alpine.Dockerfile
+            docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-alpine
            features: fp16kernels
            pre_build: |-
              set -e &&
-              sudo apt-get update &&
-              sudo apt-get install -y protobuf-compiler pkg-config &&
-              rustup target add x86_64-unknown-linux-musl &&
-              export EXTRA_ARGS="-x"
+              apk add protobuf-dev curl &&
+              ln -s /usr/lib/gcc/x86_64-alpine-linux-musl/14.2.0/crtbeginS.o /usr/lib/crtbeginS.o &&
+              ln -s /usr/lib/libgcc_s.so /usr/lib/libgcc.so &&
+              CC=gcc &&
+              CXX=g++
          - target: aarch64-unknown-linux-gnu
            host: ubuntu-2404-8x-x64
            # https://github.com/napi-rs/napi-rs/blob/main/debian-aarch64.Dockerfile
@@ -150,13 +153,15 @@ jobs:
              rustup target add aarch64-unknown-linux-gnu
          - target: aarch64-unknown-linux-musl
            host: ubuntu-2404-8x-x64
+            # https://github.com/napi-rs/napi-rs/blob/main/alpine.Dockerfile
+            docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-alpine
            features: ","
            pre_build: |-
              set -e &&
-              sudo apt-get update &&
-              sudo apt-get install -y protobuf-compiler &&
+              apk add protobuf-dev &&
              rustup target add aarch64-unknown-linux-musl &&
-              export EXTRA_ARGS="-x"
+              export CC_aarch64_unknown_linux_musl=aarch64-linux-musl-gcc &&
+              export CXX_aarch64_unknown_linux_musl=aarch64-linux-musl-g++
    name: build - ${{ matrix.settings.target }}
    runs-on: ${{ matrix.settings.host }}
    defaults:
@@ -187,18 +192,12 @@ jobs:
            .cargo-cache
            target/
          key: nodejs-${{ matrix.settings.target }}-cargo-${{ matrix.settings.host }}
+      - name: Setup toolchain
+        run: ${{ matrix.settings.setup }}
+        if: ${{ matrix.settings.setup }}
+        shell: bash
      - name: Install dependencies
        run: npm ci
-      - name: Install Zig
-        uses: mlugg/setup-zig@v2
-        if: ${{ contains(matrix.settings.target, 'musl') }}
-        with:
-          version: 0.14.1
-      - name: Install cargo-zigbuild
-        uses: taiki-e/install-action@v2
-        if: ${{ contains(matrix.settings.target, 'musl') }}
-        with:
-          tool: cargo-zigbuild
      - name: Build in docker
        uses: addnab/docker-run-action@v3
        if: ${{ matrix.settings.docker }}
@@ -211,24 +210,24 @@ jobs:
          run: |
            set -e
            ${{ matrix.settings.pre_build }}
-            npx napi build --platform --release \
+            npx napi build --platform  --release --no-const-enum \
              --features ${{ matrix.settings.features }} \
              --target ${{ matrix.settings.target }} \
              --dts ../lancedb/native.d.ts \
              --js ../lancedb/native.js \
              --strip \
-              --output-dir dist/
+              dist/
      - name: Build
        run: |
          ${{ matrix.settings.pre_build }}
-          npx napi build --platform --release \
+          npx napi build --platform  --release --no-const-enum \
              --features ${{ matrix.settings.features }} \
              --target ${{ matrix.settings.target }} \
              --dts ../lancedb/native.d.ts \
              --js ../lancedb/native.js \
              --strip \
              $EXTRA_ARGS \
-              --output-dir dist/
+              dist/
        if: ${{ !matrix.settings.docker }}
        shell: bash
      - name: Upload artifact
@@ -319,7 +318,7 @@ jobs:
      - name: Setup node
        uses: actions/setup-node@v4
        with:
-          node-version: 24
+          node-version: 20
          cache: npm
          cache-dependency-path: nodejs/package-lock.json
          registry-url: "https://registry.npmjs.org"
@@ -349,9 +348,9 @@ jobs:
        run: find npm
      - name: Publish
        env:
+          NODE_AUTH_TOKEN: ${{ secrets.LANCEDB_NPM_REGISTRY_TOKEN }}
          DRY_RUN: ${{ !startsWith(github.ref, 'refs/tags/v') }}
        run: |
-          npm config set provenance true
          ARGS="--access public"
          if [[ $DRY_RUN == "true" ]]; then
            ARGS="$ARGS --dry-run"
@@ -364,7 +363,7 @@ jobs:
    name: Report Workflow Failure
    runs-on: ubuntu-latest
    needs: [build-lancedb, test-lancedb, publish]
-    if: always() && failure() && startsWith(github.ref, 'refs/tags/v')
+    if: always() && (github.event_name == 'release' || github.event_name == 'workflow_dispatch')
    permissions:
      contents: read
      issues: write
--- a/.github/workflows/pypi-publish.yml
+++ b/.github/workflows/pypi-publish.yml
@@ -181,7 +181,7 @@ jobs:
    permissions:
      contents: read
      issues: write
-    if: always() && failure() && startsWith(github.ref, 'refs/tags/python-v')
+    if: always() && (github.event_name == 'release' || github.event_name == 'workflow_dispatch')
    steps:
      - uses: actions/checkout@v4
      - uses: ./.github/actions/create-failure-issue
--- a/.github/workflows/python.yml
+++ b/.github/workflows/python.yml
@@ -8,7 +8,6 @@ on:
    paths:
      - Cargo.toml
      - python/**
-      - rust/**
      - .github/workflows/python.yml

 concurrency:
--- a/.github/workflows/rust.yml
+++ b/.github/workflows/rust.yml
@@ -100,9 +100,7 @@ jobs:
          lfs: true
      - uses: Swatinem/rust-cache@v2
      - name: Install dependencies
-        run: |
-          sudo apt update
-          sudo apt install -y protobuf-compiler libssl-dev
+        run: sudo apt install -y protobuf-compiler libssl-dev
      - uses: rui314/setup-mold@v1
      - name: Make Swap
        run: |
@@ -185,7 +183,7 @@ jobs:
    runs-on: ubuntu-24.04
    strategy:
      matrix:
-        msrv: ["1.91.0"] # This should match up with rust-version in Cargo.toml
+        msrv: ["1.88.0"] # This should match up with rust-version in Cargo.toml
    env:
      # Need up-to-date compilers for kernels
      CC: clang-18
--- a/Cargo.lock
+++ b/Cargo.lock
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -12,23 +12,23 @@ repository = "https://github.com/lancedb/lancedb"
 description = "Serverless, low-latency vector database for AI applications"
 keywords = ["lancedb", "lance", "database", "vector", "search"]
 categories = ["database-implementations"]
-rust-version = "1.91.0"
+rust-version = "1.88.0"

 [workspace.dependencies]
-lance = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=3.0.0-beta.1", default-features = false, "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=3.0.0-beta.1", default-features = false, "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=3.0.0-beta.1", default-features = false, "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=3.0.0-beta.1", "tag" = "v3.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
 ahash = "0.8"
 # Note that this one does not include pyarrow
 arrow = { version = "57.2", optional = false }
@@ -40,15 +40,13 @@ arrow-schema = "57.2"
 arrow-select = "57.2"
 arrow-cast = "57.2"
 async-trait = "0"
-datafusion = { version = "52.1", default-features = false }
-datafusion-catalog = "52.1"
-datafusion-common = { version = "52.1", default-features = false }
-datafusion-execution = "52.1"
-datafusion-expr = "52.1"
-datafusion-functions = "52.1"
-datafusion-physical-plan = "52.1"
-datafusion-physical-expr = "52.1"
-datafusion-sql = "52.1"
+datafusion = { version = "51.0", default-features = false }
+datafusion-catalog = "51.0"
+datafusion-common = { version = "51.0", default-features = false }
+datafusion-execution = "51.0"
+datafusion-expr = "51.0"
+datafusion-physical-plan = "51.0"
+datafusion-physical-expr = "51.0"
 env_logger = "0.11"
 half = { "version" = "2.7.1", default-features = false, features = [
    "num-traits",
--- a/9
+++ b/9
@@ -1,9 +0,0 @@
-.PHONY: licenses
-
-licenses:
-	cargo about generate about.hbs -o RUST_THIRD_PARTY_LICENSES.html -c about.toml
-	cd python && cargo about generate ../about.hbs -o RUST_THIRD_PARTY_LICENSES.html -c ../about.toml
-	cd python && uv sync --all-extras && uv tool run pip-licenses --python .venv/bin/python --format=markdown --with-urls --output-file=PYTHON_THIRD_PARTY_LICENSES.md
-	cd nodejs && cargo about generate ../about.hbs -o RUST_THIRD_PARTY_LICENSES.html -c ../about.toml
-	cd nodejs && npx license-checker --markdown --out NODEJS_THIRD_PARTY_LICENSES.md
-	cd java && ./mvnw license:aggregate-add-third-party -q
--- a/RUST_THIRD_PARTY_LICENSES.html
+++ b/RUST_THIRD_PARTY_LICENSES.html
--- a/about.hbs
+++ b/about.hbs
@@ -1,70 +0,0 @@
-<html>
-
-<head>
-    <style>
-        @media (prefers-color-scheme: dark) {
-            body {
-                background: #333;
-                color: white;
-            }
-            a {
-                color: skyblue;
-            }
-        }
-        .container {
-            font-family: sans-serif;
-            max-width: 800px;
-            margin: 0 auto;
-        }
-        .intro {
-            text-align: center;
-        }
-        .licenses-list {
-            list-style-type: none;
-            margin: 0;
-            padding: 0;
-        }
-        .license-used-by {
-            margin-top: -10px;
-        }
-        .license-text {
-            max-height: 200px;
-            overflow-y: scroll;
-            white-space: pre-wrap;
-        }
-    </style>
-</head>
-
-<body>
-    <main class="container">
-        <div class="intro">
-            <h1>Third Party Licenses</h1>
-            <p>This page lists the licenses of the projects used in cargo-about.</p>
-        </div>
-    
-        <h2>Overview of licenses:</h2>
-        <ul class="licenses-overview">
-            {{#each overview}}
-            <li><a href="#{{id}}">{{name}}</a> ({{count}})</li>
-            {{/each}}
-        </ul>
-
-        <h2>All license text:</h2>
-        <ul class="licenses-list">
-            {{#each licenses}}
-            <li class="license">
-                <h3 id="{{id}}">{{name}}</h3>
-                <h4>Used by:</h4>
-                <ul class="license-used-by">
-                    {{#each used_by}}
-                    <li><a href="{{#if crate.repository}} {{crate.repository}} {{else}} https://crates.io/crates/{{crate.name}} {{/if}}">{{crate.name}} {{crate.version}}</a></li>
-                    {{/each}}
-                </ul>
-                <pre class="license-text">{{text}}</pre>
-            </li>
-            {{/each}}
-        </ul>
-    </main>
-</body>
-
-</html>
--- a/about.toml
+++ b/about.toml
@@ -1,18 +0,0 @@
-accepted = [
-    "0BSD",
-    "Apache-2.0",
-    "Apache-2.0 WITH LLVM-exception",
-    "BSD-2-Clause",
-    "BSD-3-Clause",
-    "BSL-1.0",
-    "bzip2-1.0.6",
-    "CC0-1.0",
-    "CDDL-1.0",
-    "CDLA-Permissive-2.0",
-    "ISC",
-    "MIT",
-    "MPL-2.0",
-    "OpenSSL",
-    "Unicode-3.0",
-    "Zlib",
-]
--- a/docs/src/java/java.md
+++ b/docs/src/java/java.md
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-core</artifactId>
-    <version>0.27.0-beta.2</version>
+    <version>0.25.0-beta.0</version>
 </dependency>
 ```

--- a/docs/src/js/classes/Table.md
+++ b/docs/src/js/classes/Table.md
@@ -367,27 +367,6 @@ Use [Table.listIndices](Table.md#listindices) to find the names of the indices.

 ***

-### initialStorageOptions()
-
-```ts
-abstract initialStorageOptions(): Promise<undefined | null | Record<string, string>>
-```
-
-Get the initial storage options that were passed in when opening this table.
-
-For dynamically refreshed options (e.g., credential vending), use
-[Table.latestStorageOptions](Table.md#lateststorageoptions).
-
-Warning: This is an internal API and the return value is subject to change.
-
-#### Returns
-
-`Promise`&lt;`undefined` \| `null` \| `Record`&lt;`string`, `string`&gt;&gt;
-
-The storage options, or undefined if no storage options were configured.
-
-***
-
 ### isOpen()

 ```ts
@@ -402,28 +381,6 @@ Return true if the table has not been closed

 ***

-### latestStorageOptions()
-
-```ts
-abstract latestStorageOptions(): Promise<undefined | null | Record<string, string>>
-```
-
-Get the latest storage options, refreshing from provider if configured.
-
-This method is useful for credential vending scenarios where storage options
-may be refreshed dynamically. If no dynamic provider is configured, this
-returns the initial static options.
-
-Warning: This is an internal API and the return value is subject to change.
-
-#### Returns
-
-`Promise`&lt;`undefined` \| `null` \| `Record`&lt;`string`, `string`&gt;&gt;
-
-The storage options, or undefined if no storage options were configured.
-
-***
-
 ### listIndices()

 ```ts
--- a/java/JAVA_THIRD_PARTY_LICENSES.md
+++ b/java/JAVA_THIRD_PARTY_LICENSES.md
@@ -1,71 +0,0 @@
-
-List of third-party dependencies grouped by their license type.
-
-    Apache 2.0:
-
-        * error-prone annotations (com.google.errorprone:error_prone_annotations:2.28.0 - https://errorprone.info/error_prone_annotations)
-
-    Apache License 2.0:
-
-        * JsonNullable Jackson module (org.openapitools:jackson-databind-nullable:0.2.6 - https://github.com/OpenAPITools/jackson-databind-nullable)
-
-    Apache License V2.0:
-
-        * FlatBuffers Java API (com.google.flatbuffers:flatbuffers-java:23.5.26 - https://github.com/google/flatbuffers)
-
-    Apache License, Version 2.0:
-
-        * Apache Commons Codec (commons-codec:commons-codec:1.15 - https://commons.apache.org/proper/commons-codec/)
-        * Apache HttpClient (org.apache.httpcomponents.client5:httpclient5:5.2.1 - https://hc.apache.org/httpcomponents-client-5.0.x/5.2.1/httpclient5/)
-        * Apache HttpComponents Core HTTP/1.1 (org.apache.httpcomponents.core5:httpcore5:5.2 - https://hc.apache.org/httpcomponents-core-5.2.x/5.2/httpcore5/)
-        * Apache HttpComponents Core HTTP/2 (org.apache.httpcomponents.core5:httpcore5-h2:5.2 - https://hc.apache.org/httpcomponents-core-5.2.x/5.2/httpcore5-h2/)
-        * Arrow Format (org.apache.arrow:arrow-format:15.0.0 - https://arrow.apache.org/arrow-format/)
-        * Arrow Java C Data Interface (org.apache.arrow:arrow-c-data:15.0.0 - https://arrow.apache.org/arrow-c-data/)
-        * Arrow Java Dataset (org.apache.arrow:arrow-dataset:15.0.0 - https://arrow.apache.org/arrow-dataset/)
-        * Arrow Memory - Core (org.apache.arrow:arrow-memory-core:15.0.0 - https://arrow.apache.org/arrow-memory/arrow-memory-core/)
-        * Arrow Memory - Netty (org.apache.arrow:arrow-memory-netty:15.0.0 - https://arrow.apache.org/arrow-memory/arrow-memory-netty/)
-        * Arrow Vectors (org.apache.arrow:arrow-vector:15.0.0 - https://arrow.apache.org/arrow-vector/)
-        * Guava: Google Core Libraries for Java (com.google.guava:guava:33.3.1-jre - https://github.com/google/guava)
-        * J2ObjC Annotations (com.google.j2objc:j2objc-annotations:3.0.0 - https://github.com/google/j2objc/)
-        * Netty/Buffer (io.netty:netty-buffer:4.1.104.Final - https://netty.io/netty-buffer/)
-        * Netty/Common (io.netty:netty-common:4.1.104.Final - https://netty.io/netty-common/)
-
-    Apache-2.0:
-
-        * Apache Commons Lang (org.apache.commons:commons-lang3:3.18.0 - https://commons.apache.org/proper/commons-lang/)
-        * lance-namespace-apache-client (org.lance:lance-namespace-apache-client:0.4.5 - https://github.com/openapitools/openapi-generator)
-        * lance-namespace-core (org.lance:lance-namespace-core:0.4.5 - https://lance.org/format/namespace/lance-namespace-core/)
-
-    EDL 1.0:
-
-        * Jakarta Activation API jar (jakarta.activation:jakarta.activation-api:1.2.2 - https://github.com/eclipse-ee4j/jaf/jakarta.activation-api)
-
-    Eclipse Distribution License - v 1.0:
-
-        * Eclipse Collections API (org.eclipse.collections:eclipse-collections-api:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections-api)
-        * Eclipse Collections Main Library (org.eclipse.collections:eclipse-collections:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections)
-        * Jakarta XML Binding API (jakarta.xml.bind:jakarta.xml.bind-api:2.3.3 - https://github.com/eclipse-ee4j/jaxb-api/jakarta.xml.bind-api)
-
-    Eclipse Public License - v 1.0:
-
-        * Eclipse Collections API (org.eclipse.collections:eclipse-collections-api:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections-api)
-        * Eclipse Collections Main Library (org.eclipse.collections:eclipse-collections:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections)
-
-    The Apache Software License, Version 2.0:
-
-        * FindBugs-jsr305 (com.google.code.findbugs:jsr305:3.0.2 - http://findbugs.sourceforge.net/)
-        * Guava InternalFutureFailureAccess and InternalFutures (com.google.guava:failureaccess:1.0.2 - https://github.com/google/guava/failureaccess)
-        * Guava ListenableFuture only (com.google.guava:listenablefuture:9999.0-empty-to-avoid-conflict-with-guava - https://github.com/google/guava/listenablefuture)
-        * Jackson datatype: JSR310 (com.fasterxml.jackson.datatype:jackson-datatype-jsr310:2.16.0 - https://github.com/FasterXML/jackson-modules-java8/jackson-datatype-jsr310)
-        * Jackson module: Old JAXB Annotations (javax.xml.bind) (com.fasterxml.jackson.module:jackson-module-jaxb-annotations:2.17.1 - https://github.com/FasterXML/jackson-modules-base)
-        * Jackson-annotations (com.fasterxml.jackson.core:jackson-annotations:2.16.0 - https://github.com/FasterXML/jackson)
-        * Jackson-core (com.fasterxml.jackson.core:jackson-core:2.16.0 - https://github.com/FasterXML/jackson-core)
-        * jackson-databind (com.fasterxml.jackson.core:jackson-databind:2.15.2 - https://github.com/FasterXML/jackson)
-        * Jackson-JAXRS: base (com.fasterxml.jackson.jaxrs:jackson-jaxrs-base:2.17.1 - https://github.com/FasterXML/jackson-jaxrs-providers/jackson-jaxrs-base)
-        * Jackson-JAXRS: JSON (com.fasterxml.jackson.jaxrs:jackson-jaxrs-json-provider:2.17.1 - https://github.com/FasterXML/jackson-jaxrs-providers/jackson-jaxrs-json-provider)
-        * JAR JNI Loader (org.questdb:jar-jni:1.1.1 - https://github.com/questdb/rust-maven-plugin)
-        * Lance Core (org.lance:lance-core:2.0.0 - https://lance.org/)
-
-    The MIT License:
-
-        * Checker Qual (org.checkerframework:checker-qual:3.43.0 - https://checkerframework.org/)
--- a/java/lancedb-core/JAVA_THIRD_PARTY_LICENSES.md
+++ b/java/lancedb-core/JAVA_THIRD_PARTY_LICENSES.md
@@ -1,71 +0,0 @@
-
-List of third-party dependencies grouped by their license type.
-
-    Apache 2.0:
-
-        * error-prone annotations (com.google.errorprone:error_prone_annotations:2.28.0 - https://errorprone.info/error_prone_annotations)
-
-    Apache License 2.0:
-
-        * JsonNullable Jackson module (org.openapitools:jackson-databind-nullable:0.2.6 - https://github.com/OpenAPITools/jackson-databind-nullable)
-
-    Apache License V2.0:
-
-        * FlatBuffers Java API (com.google.flatbuffers:flatbuffers-java:23.5.26 - https://github.com/google/flatbuffers)
-
-    Apache License, Version 2.0:
-
-        * Apache Commons Codec (commons-codec:commons-codec:1.15 - https://commons.apache.org/proper/commons-codec/)
-        * Apache HttpClient (org.apache.httpcomponents.client5:httpclient5:5.2.1 - https://hc.apache.org/httpcomponents-client-5.0.x/5.2.1/httpclient5/)
-        * Apache HttpComponents Core HTTP/1.1 (org.apache.httpcomponents.core5:httpcore5:5.2 - https://hc.apache.org/httpcomponents-core-5.2.x/5.2/httpcore5/)
-        * Apache HttpComponents Core HTTP/2 (org.apache.httpcomponents.core5:httpcore5-h2:5.2 - https://hc.apache.org/httpcomponents-core-5.2.x/5.2/httpcore5-h2/)
-        * Arrow Format (org.apache.arrow:arrow-format:15.0.0 - https://arrow.apache.org/arrow-format/)
-        * Arrow Java C Data Interface (org.apache.arrow:arrow-c-data:15.0.0 - https://arrow.apache.org/arrow-c-data/)
-        * Arrow Java Dataset (org.apache.arrow:arrow-dataset:15.0.0 - https://arrow.apache.org/arrow-dataset/)
-        * Arrow Memory - Core (org.apache.arrow:arrow-memory-core:15.0.0 - https://arrow.apache.org/arrow-memory/arrow-memory-core/)
-        * Arrow Memory - Netty (org.apache.arrow:arrow-memory-netty:15.0.0 - https://arrow.apache.org/arrow-memory/arrow-memory-netty/)
-        * Arrow Vectors (org.apache.arrow:arrow-vector:15.0.0 - https://arrow.apache.org/arrow-vector/)
-        * Guava: Google Core Libraries for Java (com.google.guava:guava:33.3.1-jre - https://github.com/google/guava)
-        * J2ObjC Annotations (com.google.j2objc:j2objc-annotations:3.0.0 - https://github.com/google/j2objc/)
-        * Netty/Buffer (io.netty:netty-buffer:4.1.104.Final - https://netty.io/netty-buffer/)
-        * Netty/Common (io.netty:netty-common:4.1.104.Final - https://netty.io/netty-common/)
-
-    Apache-2.0:
-
-        * Apache Commons Lang (org.apache.commons:commons-lang3:3.18.0 - https://commons.apache.org/proper/commons-lang/)
-        * lance-namespace-apache-client (org.lance:lance-namespace-apache-client:0.4.5 - https://github.com/openapitools/openapi-generator)
-        * lance-namespace-core (org.lance:lance-namespace-core:0.4.5 - https://lance.org/format/namespace/lance-namespace-core/)
-
-    EDL 1.0:
-
-        * Jakarta Activation API jar (jakarta.activation:jakarta.activation-api:1.2.2 - https://github.com/eclipse-ee4j/jaf/jakarta.activation-api)
-
-    Eclipse Distribution License - v 1.0:
-
-        * Eclipse Collections API (org.eclipse.collections:eclipse-collections-api:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections-api)
-        * Eclipse Collections Main Library (org.eclipse.collections:eclipse-collections:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections)
-        * Jakarta XML Binding API (jakarta.xml.bind:jakarta.xml.bind-api:2.3.3 - https://github.com/eclipse-ee4j/jaxb-api/jakarta.xml.bind-api)
-
-    Eclipse Public License - v 1.0:
-
-        * Eclipse Collections API (org.eclipse.collections:eclipse-collections-api:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections-api)
-        * Eclipse Collections Main Library (org.eclipse.collections:eclipse-collections:11.1.0 - https://github.com/eclipse/eclipse-collections/eclipse-collections)
-
-    The Apache Software License, Version 2.0:
-
-        * FindBugs-jsr305 (com.google.code.findbugs:jsr305:3.0.2 - http://findbugs.sourceforge.net/)
-        * Guava InternalFutureFailureAccess and InternalFutures (com.google.guava:failureaccess:1.0.2 - https://github.com/google/guava/failureaccess)
-        * Guava ListenableFuture only (com.google.guava:listenablefuture:9999.0-empty-to-avoid-conflict-with-guava - https://github.com/google/guava/listenablefuture)
-        * Jackson datatype: JSR310 (com.fasterxml.jackson.datatype:jackson-datatype-jsr310:2.16.0 - https://github.com/FasterXML/jackson-modules-java8/jackson-datatype-jsr310)
-        * Jackson module: Old JAXB Annotations (javax.xml.bind) (com.fasterxml.jackson.module:jackson-module-jaxb-annotations:2.17.1 - https://github.com/FasterXML/jackson-modules-base)
-        * Jackson-annotations (com.fasterxml.jackson.core:jackson-annotations:2.16.0 - https://github.com/FasterXML/jackson)
-        * Jackson-core (com.fasterxml.jackson.core:jackson-core:2.16.0 - https://github.com/FasterXML/jackson-core)
-        * jackson-databind (com.fasterxml.jackson.core:jackson-databind:2.15.2 - https://github.com/FasterXML/jackson)
-        * Jackson-JAXRS: base (com.fasterxml.jackson.jaxrs:jackson-jaxrs-base:2.17.1 - https://github.com/FasterXML/jackson-jaxrs-providers/jackson-jaxrs-base)
-        * Jackson-JAXRS: JSON (com.fasterxml.jackson.jaxrs:jackson-jaxrs-json-provider:2.17.1 - https://github.com/FasterXML/jackson-jaxrs-providers/jackson-jaxrs-json-provider)
-        * JAR JNI Loader (org.questdb:jar-jni:1.1.1 - https://github.com/questdb/rust-maven-plugin)
-        * Lance Core (org.lance:lance-core:2.0.0 - https://lance.org/)
-
-    The MIT License:
-
-        * Checker Qual (org.checkerframework:checker-qual:3.43.0 - https://checkerframework.org/)
--- a/java/lancedb-core/pom.xml
+++ b/java/lancedb-core/pom.xml
@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.27.0-beta.2</version>
+      <version>0.25.0-beta.0</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

--- a/java/pom.xml
+++ b/java/pom.xml
@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.27.0-beta.2</version>
+    <version>0.25.0-beta.0</version>
    <packaging>pom</packaging>
    <name>${project.artifactId}</name>
    <description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <arrow.version>15.0.0</arrow.version>
-        <lance-core.version>3.1.0-beta.2</lance-core.version>
+        <lance-core.version>1.0.4</lance-core.version>
        <spotless.skip>false</spotless.skip>
        <spotless.version>2.30.0</spotless.version>
        <spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
@@ -160,19 +160,6 @@
                <groupId>com.diffplug.spotless</groupId>
                <artifactId>spotless-maven-plugin</artifactId>
            </plugin>
-            <plugin>
-                <groupId>org.codehaus.mojo</groupId>
-                <artifactId>license-maven-plugin</artifactId>
-                <version>2.4.0</version>
-                <configuration>
-                    <outputDirectory>${project.basedir}</outputDirectory>
-                    <thirdPartyFilename>JAVA_THIRD_PARTY_LICENSES.md</thirdPartyFilename>
-                    <fileTemplate>/org/codehaus/mojo/license/third-party-file-groupByLicense.ftl</fileTemplate>
-                    <includedScopes>compile,runtime</includedScopes>
-                    <excludedScopes>test,provided</excludedScopes>
-                    <sortArtifactByName>true</sortArtifactByName>
-                </configuration>
-            </plugin>
        </plugins>
        <pluginManagement>
            <plugins>
@@ -305,12 +292,11 @@
                    <plugin>
                        <groupId>org.sonatype.central</groupId>
                        <artifactId>central-publishing-maven-plugin</artifactId>
-                        <version>0.8.0</version>
+                        <version>0.4.0</version>
                        <extensions>true</extensions>
                        <configuration>
                            <publishingServerId>ossrh</publishingServerId>
                            <tokenAuth>true</tokenAuth>
-                            <autoPublish>true</autoPublish>
                        </configuration>
                    </plugin>
                    <plugin>
--- a/nodejs/Cargo.toml
+++ b/nodejs/Cargo.toml
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.27.0-beta.2"
+version = "0.25.0-beta.0"
 license.workspace = true
 description.workspace = true
 repository.workspace = true
@@ -19,11 +19,11 @@ arrow-schema.workspace = true
 env_logger.workspace = true
 futures.workspace = true
 lancedb = { path = "../rust/lancedb", default-features = false }
-napi = { version = "3.8.3", default-features = false, features = [
+napi = { version = "2.16.8", default-features = false, features = [
    "napi9",
    "async"
 ] }
-napi-derive = "3.5.2"
+napi-derive = "2.16.4"
 # Prevent dynamic linking of lzma, which comes from datafusion
 lzma-sys = { version = "*", features = ["static"] }
 log.workspace = true
@@ -33,7 +33,7 @@ aws-lc-sys = "=0.28.0"
 aws-lc-rs = "=1.13.0"

 [build-dependencies]
-napi-build = "2.3.1"
+napi-build = "2.1"

 [features]
 default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface"]
--- a/nodejs/NODEJS_THIRD_PARTY_LICENSES.md
+++ b/nodejs/NODEJS_THIRD_PARTY_LICENSES.md
@@ -1,668 +0,0 @@
-[@75lb/deep-merge@1.1.2](https://github.com/75lb/deep-merge) - MIT
-[@aashutoshrathi/word-wrap@1.2.6](https://github.com/aashutoshrathi/word-wrap) - MIT
-[@ampproject/remapping@2.2.1](https://github.com/ampproject/remapping) - Apache-2.0
-[@aws-crypto/crc32@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/crc32c@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/ie11-detection@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/sha1-browser@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/sha256-browser@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/sha256-browser@5.2.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/sha256-js@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/sha256-js@5.2.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/supports-web-crypto@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/supports-web-crypto@5.2.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/util@3.0.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-crypto/util@5.2.0](https://github.com/aws/aws-sdk-js-crypto-helpers) - Apache-2.0
-[@aws-sdk/client-dynamodb@3.602.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-kms@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-s3@3.550.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-sso-oidc@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-sso-oidc@3.600.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-sso@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-sso@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-sts@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/client-sts@3.600.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/core@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/core@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-env@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-env@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-http@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-http@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-ini@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-ini@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-node@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-node@3.600.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-process@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-process@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-sso@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-sso@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-web-identity@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/credential-provider-web-identity@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/endpoint-cache@3.572.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-bucket-endpoint@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-endpoint-discovery@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-expect-continue@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-flexible-checksums@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-host-header@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-host-header@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-location-constraint@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-logger@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-logger@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-recursion-detection@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-recursion-detection@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-sdk-s3@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-signing@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-ssec@3.537.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-user-agent@3.540.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/middleware-user-agent@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/region-config-resolver@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/region-config-resolver@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/signature-v4-multi-region@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/token-providers@3.549.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/token-providers@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/types@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/types@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-arn-parser@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-endpoints@3.540.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-endpoints@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-locate-window@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-user-agent-browser@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-user-agent-browser@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-user-agent-node@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-user-agent-node@3.598.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/util-utf8-browser@3.259.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@aws-sdk/xml-builder@3.535.0](https://github.com/aws/aws-sdk-js-v3) - Apache-2.0
-[@babel/code-frame@7.26.2](https://github.com/babel/babel) - MIT
-[@babel/compat-data@7.23.5](https://github.com/babel/babel) - MIT
-[@babel/core@7.23.7](https://github.com/babel/babel) - MIT
-[@babel/generator@7.23.6](https://github.com/babel/babel) - MIT
-[@babel/helper-compilation-targets@7.23.6](https://github.com/babel/babel) - MIT
-[@babel/helper-environment-visitor@7.22.20](https://github.com/babel/babel) - MIT
-[@babel/helper-function-name@7.23.0](https://github.com/babel/babel) - MIT
-[@babel/helper-hoist-variables@7.22.5](https://github.com/babel/babel) - MIT
-[@babel/helper-module-imports@7.22.15](https://github.com/babel/babel) - MIT
-[@babel/helper-module-transforms@7.23.3](https://github.com/babel/babel) - MIT
-[@babel/helper-plugin-utils@7.22.5](https://github.com/babel/babel) - MIT
-[@babel/helper-simple-access@7.22.5](https://github.com/babel/babel) - MIT
-[@babel/helper-split-export-declaration@7.22.6](https://github.com/babel/babel) - MIT
-[@babel/helper-string-parser@7.25.9](https://github.com/babel/babel) - MIT
-[@babel/helper-validator-identifier@7.25.9](https://github.com/babel/babel) - MIT
-[@babel/helper-validator-option@7.23.5](https://github.com/babel/babel) - MIT
-[@babel/helpers@7.27.0](https://github.com/babel/babel) - MIT
-[@babel/parser@7.27.0](https://github.com/babel/babel) - MIT
-[@babel/plugin-syntax-async-generators@7.8.4](https://github.com/babel/babel/tree/master/packages/babel-plugin-syntax-async-generators) - MIT
-[@babel/plugin-syntax-bigint@7.8.3](https://github.com/babel/babel/tree/master/packages/babel-plugin-syntax-bigint) - MIT
-[@babel/plugin-syntax-class-properties@7.12.13](https://github.com/babel/babel) - MIT
-[@babel/plugin-syntax-import-meta@7.10.4](https://github.com/babel/babel) - MIT
-[@babel/plugin-syntax-json-strings@7.8.3](https://github.com/babel/babel/tree/master/packages/babel-plugin-syntax-json-strings) - MIT
-[@babel/plugin-syntax-jsx@7.23.3](https://github.com/babel/babel) - MIT
-[@babel/plugin-syntax-logical-assignment-operators@7.10.4](https://github.com/babel/babel) - MIT
-[@babel/plugin-syntax-nullish-coalescing-operator@7.8.3](https://github.com/babel/babel/tree/master/packages/babel-plugin-syntax-nullish-coalescing-operator) - MIT
-[@babel/plugin-syntax-numeric-separator@7.10.4](https://github.com/babel/babel) - MIT
-[@babel/plugin-syntax-object-rest-spread@7.8.3](https://github.com/babel/babel/tree/master/packages/babel-plugin-syntax-object-rest-spread) - MIT
-[@babel/plugin-syntax-optional-catch-binding@7.8.3](https://github.com/babel/babel/tree/master/packages/babel-plugin-syntax-optional-catch-binding) - MIT
-[@babel/plugin-syntax-optional-chaining@7.8.3](https://github.com/babel/babel/tree/master/packages/babel-plugin-syntax-optional-chaining) - MIT
-[@babel/plugin-syntax-top-level-await@7.14.5](https://github.com/babel/babel) - MIT
-[@babel/plugin-syntax-typescript@7.23.3](https://github.com/babel/babel) - MIT
-[@babel/template@7.27.0](https://github.com/babel/babel) - MIT
-[@babel/traverse@7.23.7](https://github.com/babel/babel) - MIT
-[@babel/types@7.27.0](https://github.com/babel/babel) - MIT
-[@bcoe/v8-coverage@0.2.3](https://github.com/demurgos/v8-coverage) - MIT
-[@biomejs/biome@1.8.3](https://github.com/biomejs/biome) - MIT OR Apache-2.0
-[@biomejs/cli-darwin-arm64@1.8.3](https://github.com/biomejs/biome) - MIT OR Apache-2.0
-[@eslint-community/eslint-utils@4.4.0](https://github.com/eslint-community/eslint-utils) - MIT
-[@eslint-community/regexpp@4.10.0](https://github.com/eslint-community/regexpp) - MIT
-[@eslint/eslintrc@2.1.4](https://github.com/eslint/eslintrc) - MIT
-[@eslint/js@8.57.0](https://github.com/eslint/eslint) - MIT
-[@huggingface/jinja@0.3.2](https://github.com/huggingface/huggingface.js) - MIT
-[@huggingface/transformers@3.0.2](https://github.com/huggingface/transformers.js) - Apache-2.0
-[@humanwhocodes/config-array@0.11.14](https://github.com/humanwhocodes/config-array) - Apache-2.0
-[@humanwhocodes/module-importer@1.0.1](https://github.com/humanwhocodes/module-importer) - Apache-2.0
-[@humanwhocodes/object-schema@2.0.2](https://github.com/humanwhocodes/object-schema) - BSD-3-Clause
-[@img/sharp-darwin-arm64@0.33.5](https://github.com/lovell/sharp) - Apache-2.0
-[@img/sharp-libvips-darwin-arm64@1.0.4](https://github.com/lovell/sharp-libvips) - LGPL-3.0-or-later
-[@isaacs/cliui@8.0.2](https://github.com/yargs/cliui) - ISC
-[@isaacs/fs-minipass@4.0.1](https://github.com/npm/fs-minipass) - ISC
-[@istanbuljs/load-nyc-config@1.1.0](https://github.com/istanbuljs/load-nyc-config) - ISC
-[@istanbuljs/schema@0.1.3](https://github.com/istanbuljs/schema) - MIT
-[@jest/console@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/core@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/environment@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/expect-utils@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/expect@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/fake-timers@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/globals@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/reporters@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/schemas@29.6.3](https://github.com/jestjs/jest) - MIT
-[@jest/source-map@29.6.3](https://github.com/jestjs/jest) - MIT
-[@jest/test-result@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/test-sequencer@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/transform@29.7.0](https://github.com/jestjs/jest) - MIT
-[@jest/types@29.6.3](https://github.com/jestjs/jest) - MIT
-[@jridgewell/gen-mapping@0.3.3](https://github.com/jridgewell/gen-mapping) - MIT
-[@jridgewell/resolve-uri@3.1.1](https://github.com/jridgewell/resolve-uri) - MIT
-[@jridgewell/set-array@1.1.2](https://github.com/jridgewell/set-array) - MIT
-[@jridgewell/sourcemap-codec@1.4.15](https://github.com/jridgewell/sourcemap-codec) - MIT
-[@jridgewell/trace-mapping@0.3.22](https://github.com/jridgewell/trace-mapping) - MIT
-[@lancedb/lancedb@0.26.2](https://github.com/lancedb/lancedb) - Apache-2.0
-[@napi-rs/cli@2.18.3](https://github.com/napi-rs/napi-rs) - MIT
-[@nodelib/fs.scandir@2.1.5](https://github.com/nodelib/nodelib/tree/master/packages/fs/fs.scandir) - MIT
-[@nodelib/fs.stat@2.0.5](https://github.com/nodelib/nodelib/tree/master/packages/fs/fs.stat) - MIT
-[@nodelib/fs.walk@1.2.8](https://github.com/nodelib/nodelib/tree/master/packages/fs/fs.walk) - MIT
-[@pkgjs/parseargs@0.11.0](https://github.com/pkgjs/parseargs) - MIT
-[@protobufjs/aspromise@1.1.2](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/base64@1.1.2](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/codegen@2.0.4](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/eventemitter@1.1.0](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/fetch@1.1.0](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/float@1.0.2](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/inquire@1.1.0](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/path@1.1.2](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/pool@1.1.0](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@protobufjs/utf8@1.1.0](https://github.com/dcodeIO/protobuf.js) - BSD-3-Clause
-[@shikijs/core@1.10.3](https://github.com/shikijs/shiki) - MIT
-[@sinclair/typebox@0.27.8](https://github.com/sinclairzx81/typebox) - MIT
-[@sinonjs/commons@3.0.1](https://github.com/sinonjs/commons) - BSD-3-Clause
-[@sinonjs/fake-timers@10.3.0](https://github.com/sinonjs/fake-timers) - BSD-3-Clause
-[@smithy/abort-controller@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/abort-controller@3.1.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/chunked-blob-reader-native@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/chunked-blob-reader@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/config-resolver@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/config-resolver@3.0.3](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/core@1.4.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/core@2.2.3](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/credential-provider-imds@2.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/credential-provider-imds@3.1.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/eventstream-codec@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/eventstream-serde-browser@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/eventstream-serde-config-resolver@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/eventstream-serde-node@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/eventstream-serde-universal@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/fetch-http-handler@2.5.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/fetch-http-handler@3.1.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/hash-blob-browser@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/hash-node@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/hash-node@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/hash-stream-node@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/invalid-dependency@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/invalid-dependency@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/is-array-buffer@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/is-array-buffer@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/md5-js@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-content-length@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-content-length@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-endpoint@2.5.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-endpoint@3.0.3](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-retry@2.3.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-retry@3.0.6](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-serde@2.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-serde@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-stack@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/middleware-stack@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/node-config-provider@2.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/node-config-provider@3.1.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/node-http-handler@2.5.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/node-http-handler@3.1.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/property-provider@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/property-provider@3.1.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/protocol-http@3.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/protocol-http@4.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/querystring-builder@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/querystring-builder@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/querystring-parser@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/querystring-parser@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/service-error-classification@2.1.5](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/service-error-classification@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/shared-ini-file-loader@2.4.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/shared-ini-file-loader@3.1.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/signature-v4@2.2.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/signature-v4@3.1.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/smithy-client@2.5.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/smithy-client@3.1.4](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/types@2.12.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/types@3.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/url-parser@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/url-parser@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-base64@2.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-base64@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-body-length-browser@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-body-length-browser@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-body-length-node@2.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-body-length-node@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-buffer-from@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-buffer-from@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-config-provider@2.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-config-provider@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-defaults-mode-browser@2.2.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-defaults-mode-browser@3.0.6](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-defaults-mode-node@2.3.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-defaults-mode-node@3.0.6](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-endpoints@1.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-endpoints@2.0.3](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-hex-encoding@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-hex-encoding@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-middleware@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-middleware@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-retry@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-retry@3.0.2](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-stream@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-stream@3.0.4](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-uri-escape@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-uri-escape@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-utf8@2.3.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-utf8@3.0.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-waiter@2.2.0](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@smithy/util-waiter@3.1.1](https://github.com/awslabs/smithy-typescript) - Apache-2.0
-[@swc/helpers@0.5.12](https://github.com/swc-project/swc) - Apache-2.0
-[@types/axios@0.14.0](https://github.com/mzabriskie/axios) - MIT
-[@types/babel__core@7.20.5](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/babel__generator@7.6.8](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/babel__template@7.4.4](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/babel__traverse@7.20.5](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/command-line-args@5.2.3](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/command-line-usage@5.0.2](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/command-line-usage@5.0.4](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/graceful-fs@4.1.9](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/hast@3.0.4](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/istanbul-lib-coverage@2.0.6](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/istanbul-lib-report@3.0.3](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/istanbul-reports@3.0.4](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/jest@29.5.12](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/json-schema@7.0.15](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/node-fetch@2.6.11](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/node@18.19.26](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/node@20.16.10](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/node@20.17.9](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/node@22.7.4](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/semver@7.5.6](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/stack-utils@2.0.3](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/tmp@0.2.6](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/unist@3.0.2](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/yargs-parser@21.0.3](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@types/yargs@17.0.32](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT
-[@typescript-eslint/eslint-plugin@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - MIT
-[@typescript-eslint/parser@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - BSD-2-Clause
-[@typescript-eslint/scope-manager@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - MIT
-[@typescript-eslint/type-utils@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - MIT
-[@typescript-eslint/types@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - MIT
-[@typescript-eslint/typescript-estree@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - BSD-2-Clause
-[@typescript-eslint/utils@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - MIT
-[@typescript-eslint/visitor-keys@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - MIT
-[@ungap/structured-clone@1.2.0](https://github.com/ungap/structured-clone) - ISC
-[abort-controller@3.0.0](https://github.com/mysticatea/abort-controller) - MIT
-[acorn-jsx@5.3.2](https://github.com/acornjs/acorn-jsx) - MIT
-[acorn@8.11.3](https://github.com/acornjs/acorn) - MIT
-[agentkeepalive@4.5.0](https://github.com/node-modules/agentkeepalive) - MIT
-[ajv@6.12.6](https://github.com/ajv-validator/ajv) - MIT
-[ansi-escapes@4.3.2](https://github.com/sindresorhus/ansi-escapes) - MIT
-[ansi-regex@5.0.1](https://github.com/chalk/ansi-regex) - MIT
-[ansi-regex@6.1.0](https://github.com/chalk/ansi-regex) - MIT
-[ansi-styles@4.3.0](https://github.com/chalk/ansi-styles) - MIT
-[ansi-styles@5.2.0](https://github.com/chalk/ansi-styles) - MIT
-[ansi-styles@6.2.1](https://github.com/chalk/ansi-styles) - MIT
-[anymatch@3.1.3](https://github.com/micromatch/anymatch) - ISC
-[apache-arrow@15.0.0](https://github.com/apache/arrow) - Apache-2.0
-[apache-arrow@16.0.0](https://github.com/apache/arrow) - Apache-2.0
-[apache-arrow@17.0.0](https://github.com/apache/arrow) - Apache-2.0
-[apache-arrow@18.0.0](https://github.com/apache/arrow) - Apache-2.0
-[argparse@1.0.10](https://github.com/nodeca/argparse) - MIT
-[argparse@2.0.1](https://github.com/nodeca/argparse) - Python-2.0
-[array-back@3.1.0](https://github.com/75lb/array-back) - MIT
-[array-back@6.2.2](https://github.com/75lb/array-back) - MIT
-[array-union@2.1.0](https://github.com/sindresorhus/array-union) - MIT
-[asynckit@0.4.0](https://github.com/alexindigo/asynckit) - MIT
-[axios@1.8.4](https://github.com/axios/axios) - MIT
-[babel-jest@29.7.0](https://github.com/jestjs/jest) - MIT
-[babel-plugin-istanbul@6.1.1](https://github.com/istanbuljs/babel-plugin-istanbul) - BSD-3-Clause
-[babel-plugin-jest-hoist@29.6.3](https://github.com/jestjs/jest) - MIT
-[babel-preset-current-node-syntax@1.0.1](https://github.com/nicolo-ribaudo/babel-preset-current-node-syntax) - MIT
-[babel-preset-jest@29.6.3](https://github.com/jestjs/jest) - MIT
-[balanced-match@1.0.2](https://github.com/juliangruber/balanced-match) - MIT
-[base-64@0.1.0](https://github.com/mathiasbynens/base64) - MIT
-[bowser@2.11.0](https://github.com/lancedikson/bowser) - MIT
-[brace-expansion@1.1.11](https://github.com/juliangruber/brace-expansion) - MIT
-[brace-expansion@2.0.1](https://github.com/juliangruber/brace-expansion) - MIT
-[braces@3.0.3](https://github.com/micromatch/braces) - MIT
-[browserslist@4.22.2](https://github.com/browserslist/browserslist) - MIT
-[bs-logger@0.2.6](https://github.com/huafu/bs-logger) - MIT
-[bser@2.1.1](https://github.com/facebook/watchman) - Apache-2.0
-[buffer-from@1.1.2](https://github.com/LinusU/buffer-from) - MIT
-[callsites@3.1.0](https://github.com/sindresorhus/callsites) - MIT
-[camelcase@5.3.1](https://github.com/sindresorhus/camelcase) - MIT
-[camelcase@6.3.0](https://github.com/sindresorhus/camelcase) - MIT
-[caniuse-lite@1.0.30001579](https://github.com/browserslist/caniuse-lite) - CC-BY-4.0
-[chalk-template@0.4.0](https://github.com/chalk/chalk-template) - MIT
-[chalk@4.1.2](https://github.com/chalk/chalk) - MIT
-[char-regex@1.0.2](https://github.com/Richienb/char-regex) - MIT
-[charenc@0.0.2](https://github.com/pvorb/node-charenc) - BSD-3-Clause
-[chownr@3.0.0](https://github.com/isaacs/chownr) - BlueOak-1.0.0
-[ci-info@3.9.0](https://github.com/watson/ci-info) - MIT
-[cjs-module-lexer@1.2.3](https://github.com/nodejs/cjs-module-lexer) - MIT
-[cliui@8.0.1](https://github.com/yargs/cliui) - ISC
-[co@4.6.0](https://github.com/tj/co) - MIT
-[collect-v8-coverage@1.0.2](https://github.com/SimenB/collect-v8-coverage) - MIT
-[color-convert@2.0.1](https://github.com/Qix-/color-convert) - MIT
-[color-name@1.1.4](https://github.com/colorjs/color-name) - MIT
-[color-string@1.9.1](https://github.com/Qix-/color-string) - MIT
-[color@4.2.3](https://github.com/Qix-/color) - MIT
-[combined-stream@1.0.8](https://github.com/felixge/node-combined-stream) - MIT
-[command-line-args@5.2.1](https://github.com/75lb/command-line-args) - MIT
-[command-line-usage@7.0.1](https://github.com/75lb/command-line-usage) - MIT
-[concat-map@0.0.1](https://github.com/substack/node-concat-map) - MIT
-[convert-source-map@2.0.0](https://github.com/thlorenz/convert-source-map) - MIT
-[create-jest@29.7.0](https://github.com/jestjs/jest) - MIT
-[cross-spawn@7.0.6](https://github.com/moxystudio/node-cross-spawn) - MIT
-[crypt@0.0.2](https://github.com/pvorb/node-crypt) - BSD-3-Clause
-[debug@4.3.4](https://github.com/debug-js/debug) - MIT
-[dedent@1.5.1](https://github.com/dmnd/dedent) - MIT
-[deep-is@0.1.4](https://github.com/thlorenz/deep-is) - MIT
-[deepmerge@4.3.1](https://github.com/TehShrike/deepmerge) - MIT
-[delayed-stream@1.0.0](https://github.com/felixge/node-delayed-stream) - MIT
-[detect-libc@2.0.3](https://github.com/lovell/detect-libc) - Apache-2.0
-[detect-newline@3.1.0](https://github.com/sindresorhus/detect-newline) - MIT
-[diff-sequences@29.6.3](https://github.com/jestjs/jest) - MIT
-[digest-fetch@1.3.0](https://github.com/devfans/digest-fetch) - ISC
-[dir-glob@3.0.1](https://github.com/kevva/dir-glob) - MIT
-[doctrine@3.0.0](https://github.com/eslint/doctrine) - Apache-2.0
-[eastasianwidth@0.2.0](https://github.com/komagata/eastasianwidth) - MIT
-[electron-to-chromium@1.4.642](https://github.com/kilian/electron-to-chromium) - ISC
-[emittery@0.13.1](https://github.com/sindresorhus/emittery) - MIT
-[emoji-regex@8.0.0](https://github.com/mathiasbynens/emoji-regex) - MIT
-[emoji-regex@9.2.2](https://github.com/mathiasbynens/emoji-regex) - MIT
-[entities@4.5.0](https://github.com/fb55/entities) - BSD-2-Clause
-[error-ex@1.3.2](https://github.com/qix-/node-error-ex) - MIT
-[escalade@3.1.1](https://github.com/lukeed/escalade) - MIT
-[escape-string-regexp@2.0.0](https://github.com/sindresorhus/escape-string-regexp) - MIT
-[escape-string-regexp@4.0.0](https://github.com/sindresorhus/escape-string-regexp) - MIT
-[eslint-scope@7.2.2](https://github.com/eslint/eslint-scope) - BSD-2-Clause
-[eslint-visitor-keys@3.4.3](https://github.com/eslint/eslint-visitor-keys) - Apache-2.0
-[eslint@8.57.0](https://github.com/eslint/eslint) - MIT
-[espree@9.6.1](https://github.com/eslint/espree) - BSD-2-Clause
-[esprima@4.0.1](https://github.com/jquery/esprima) - BSD-2-Clause
-[esquery@1.5.0](https://github.com/estools/esquery) - BSD-3-Clause
-[esrecurse@4.3.0](https://github.com/estools/esrecurse) - BSD-2-Clause
-[estraverse@5.3.0](https://github.com/estools/estraverse) - BSD-2-Clause
-[esutils@2.0.3](https://github.com/estools/esutils) - BSD-2-Clause
-[event-target-shim@5.0.1](https://github.com/mysticatea/event-target-shim) - MIT
-[execa@5.1.1](https://github.com/sindresorhus/execa) - MIT
-[exit@0.1.2](https://github.com/cowboy/node-exit) - MIT
-[expect@29.7.0](https://github.com/jestjs/jest) - MIT
-[fast-deep-equal@3.1.3](https://github.com/epoberezkin/fast-deep-equal) - MIT
-[fast-glob@3.3.2](https://github.com/mrmlnc/fast-glob) - MIT
-[fast-json-stable-stringify@2.1.0](https://github.com/epoberezkin/fast-json-stable-stringify) - MIT
-[fast-levenshtein@2.0.6](https://github.com/hiddentao/fast-levenshtein) - MIT
-[fast-xml-parser@4.2.5](https://github.com/NaturalIntelligence/fast-xml-parser) - MIT
-[fastq@1.16.0](https://github.com/mcollina/fastq) - ISC
-[fb-watchman@2.0.2](https://github.com/facebook/watchman) - Apache-2.0
-[file-entry-cache@6.0.1](https://github.com/royriojas/file-entry-cache) - MIT
-[fill-range@7.1.1](https://github.com/jonschlinkert/fill-range) - MIT
-[find-replace@3.0.0](https://github.com/75lb/find-replace) - MIT
-[find-up@4.1.0](https://github.com/sindresorhus/find-up) - MIT
-[find-up@5.0.0](https://github.com/sindresorhus/find-up) - MIT
-[flat-cache@3.2.0](https://github.com/jaredwray/flat-cache) - MIT
-[flatbuffers@1.12.0](https://github.com/google/flatbuffers) - Apache*
-[flatbuffers@23.5.26](https://github.com/google/flatbuffers) - Apache*
-[flatbuffers@24.3.25](https://github.com/google/flatbuffers) - Apache-2.0
-[flatted@3.2.9](https://github.com/WebReflection/flatted) - ISC
-[follow-redirects@1.15.6](https://github.com/follow-redirects/follow-redirects) - MIT
-[foreground-child@3.3.0](https://github.com/tapjs/foreground-child) - ISC
-[form-data-encoder@1.7.2](https://github.com/octet-stream/form-data-encoder) - MIT
-[form-data@4.0.0](https://github.com/form-data/form-data) - MIT
-[formdata-node@4.4.1](https://github.com/octet-stream/form-data) - MIT
-[fs.realpath@1.0.0](https://github.com/isaacs/fs.realpath) - ISC
-[fsevents@2.3.3](https://github.com/fsevents/fsevents) - MIT
-[function-bind@1.1.2](https://github.com/Raynos/function-bind) - MIT
-[gensync@1.0.0-beta.2](https://github.com/loganfsmyth/gensync) - MIT
-[get-caller-file@2.0.5](https://github.com/stefanpenner/get-caller-file) - ISC
-[get-package-type@0.1.0](https://github.com/cfware/get-package-type) - MIT
-[get-stream@6.0.1](https://github.com/sindresorhus/get-stream) - MIT
-[glob-parent@5.1.2](https://github.com/gulpjs/glob-parent) - ISC
-[glob-parent@6.0.2](https://github.com/gulpjs/glob-parent) - ISC
-[glob@10.4.5](https://github.com/isaacs/node-glob) - ISC
-[glob@7.2.3](https://github.com/isaacs/node-glob) - ISC
-[globals@11.12.0](https://github.com/sindresorhus/globals) - MIT
-[globals@13.24.0](https://github.com/sindresorhus/globals) - MIT
-[globby@11.1.0](https://github.com/sindresorhus/globby) - MIT
-[graceful-fs@4.2.11](https://github.com/isaacs/node-graceful-fs) - ISC
-[graphemer@1.4.0](https://github.com/flmnt/graphemer) - MIT
-[guid-typescript@1.0.9](https://github.com/NicolasDeveloper/guid-typescript) - ISC
-[has-flag@4.0.0](https://github.com/sindresorhus/has-flag) - MIT
-[hasown@2.0.0](https://github.com/inspect-js/hasOwn) - MIT
-[html-escaper@2.0.2](https://github.com/WebReflection/html-escaper) - MIT
-[human-signals@2.1.0](https://github.com/ehmicky/human-signals) - Apache-2.0
-[humanize-ms@1.2.1](https://github.com/node-modules/humanize-ms) - MIT
-[ignore@5.3.0](https://github.com/kaelzhang/node-ignore) - MIT
-[import-fresh@3.3.0](https://github.com/sindresorhus/import-fresh) - MIT
-[import-local@3.1.0](https://github.com/sindresorhus/import-local) - MIT
-[imurmurhash@0.1.4](https://github.com/jensyt/imurmurhash-js) - MIT
-[inflight@1.0.6](https://github.com/npm/inflight) - ISC
-[inherits@2.0.4](https://github.com/isaacs/inherits) - ISC
-[interpret@1.4.0](https://github.com/gulpjs/interpret) - MIT
-[is-arrayish@0.2.1](https://github.com/qix-/node-is-arrayish) - MIT
-[is-arrayish@0.3.2](https://github.com/qix-/node-is-arrayish) - MIT
-[is-buffer@1.1.6](https://github.com/feross/is-buffer) - MIT
-[is-core-module@2.13.1](https://github.com/inspect-js/is-core-module) - MIT
-[is-extglob@2.1.1](https://github.com/jonschlinkert/is-extglob) - MIT
-[is-fullwidth-code-point@3.0.0](https://github.com/sindresorhus/is-fullwidth-code-point) - MIT
-[is-generator-fn@2.1.0](https://github.com/sindresorhus/is-generator-fn) - MIT
-[is-glob@4.0.3](https://github.com/micromatch/is-glob) - MIT
-[is-number@7.0.0](https://github.com/jonschlinkert/is-number) - MIT
-[is-path-inside@3.0.3](https://github.com/sindresorhus/is-path-inside) - MIT
-[is-stream@2.0.1](https://github.com/sindresorhus/is-stream) - MIT
-[isexe@2.0.0](https://github.com/isaacs/isexe) - ISC
-[istanbul-lib-coverage@3.2.2](https://github.com/istanbuljs/istanbuljs) - BSD-3-Clause
-[istanbul-lib-instrument@5.2.1](https://github.com/istanbuljs/istanbuljs) - BSD-3-Clause
-[istanbul-lib-instrument@6.0.1](https://github.com/istanbuljs/istanbuljs) - BSD-3-Clause
-[istanbul-lib-report@3.0.1](https://github.com/istanbuljs/istanbuljs) - BSD-3-Clause
-[istanbul-lib-source-maps@4.0.1](https://github.com/istanbuljs/istanbuljs) - BSD-3-Clause
-[istanbul-reports@3.1.6](https://github.com/istanbuljs/istanbuljs) - BSD-3-Clause
-[jackspeak@3.4.3](https://github.com/isaacs/jackspeak) - BlueOak-1.0.0
-[jest-changed-files@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-circus@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-cli@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-config@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-diff@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-docblock@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-each@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-environment-node@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-get-type@29.6.3](https://github.com/jestjs/jest) - MIT
-[jest-haste-map@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-leak-detector@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-matcher-utils@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-message-util@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-mock@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-pnp-resolver@1.2.3](https://github.com/arcanis/jest-pnp-resolver) - MIT
-[jest-regex-util@29.6.3](https://github.com/jestjs/jest) - MIT
-[jest-resolve-dependencies@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-resolve@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-runner@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-runtime@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-snapshot@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-util@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-validate@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-watcher@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest-worker@29.7.0](https://github.com/jestjs/jest) - MIT
-[jest@29.7.0](https://github.com/jestjs/jest) - MIT
-[js-tokens@4.0.0](https://github.com/lydell/js-tokens) - MIT
-[js-yaml@3.14.1](https://github.com/nodeca/js-yaml) - MIT
-[js-yaml@4.1.0](https://github.com/nodeca/js-yaml) - MIT
-[jsesc@2.5.2](https://github.com/mathiasbynens/jsesc) - MIT
-[json-bignum@0.0.3](https://github.com/datalanche/json-bignum) - MIT
-[json-buffer@3.0.1](https://github.com/dominictarr/json-buffer) - MIT
-[json-parse-even-better-errors@2.3.1](https://github.com/npm/json-parse-even-better-errors) - MIT
-[json-schema-traverse@0.4.1](https://github.com/epoberezkin/json-schema-traverse) - MIT
-[json-stable-stringify-without-jsonify@1.0.1](https://github.com/samn/json-stable-stringify) - MIT
-[json5@2.2.3](https://github.com/json5/json5) - MIT
-[keyv@4.5.4](https://github.com/jaredwray/keyv) - MIT
-[kleur@3.0.3](https://github.com/lukeed/kleur) - MIT
-[leven@3.1.0](https://github.com/sindresorhus/leven) - MIT
-[levn@0.4.1](https://github.com/gkz/levn) - MIT
-[lines-and-columns@1.2.4](https://github.com/eventualbuddha/lines-and-columns) - MIT
-[linkify-it@5.0.0](https://github.com/markdown-it/linkify-it) - MIT
-[locate-path@5.0.0](https://github.com/sindresorhus/locate-path) - MIT
-[locate-path@6.0.0](https://github.com/sindresorhus/locate-path) - MIT
-[lodash.camelcase@4.3.0](https://github.com/lodash/lodash) - MIT
-[lodash.memoize@4.1.2](https://github.com/lodash/lodash) - MIT
-[lodash.merge@4.6.2](https://github.com/lodash/lodash) - MIT
-[lodash@4.17.21](https://github.com/lodash/lodash) - MIT
-[long@5.2.3](https://github.com/dcodeIO/long.js) - Apache-2.0
-[lru-cache@10.4.3](https://github.com/isaacs/node-lru-cache) - ISC
-[lru-cache@5.1.1](https://github.com/isaacs/node-lru-cache) - ISC
-[lunr@2.3.9](https://github.com/olivernn/lunr.js) - MIT
-[make-dir@4.0.0](https://github.com/sindresorhus/make-dir) - MIT
-[make-error@1.3.6](https://github.com/JsCommunity/make-error) - ISC
-[makeerror@1.0.12](https://github.com/daaku/nodejs-makeerror) - BSD-3-Clause
-[markdown-it@14.1.0](https://github.com/markdown-it/markdown-it) - MIT
-[md5@2.3.0](https://github.com/pvorb/node-md5) - BSD-3-Clause
-[mdurl@2.0.0](https://github.com/markdown-it/mdurl) - MIT
-[merge-stream@2.0.0](https://github.com/grncdr/merge-stream) - MIT
-[merge2@1.4.1](https://github.com/teambition/merge2) - MIT
-[micromatch@4.0.8](https://github.com/micromatch/micromatch) - MIT
-[mime-db@1.52.0](https://github.com/jshttp/mime-db) - MIT
-[mime-types@2.1.35](https://github.com/jshttp/mime-types) - MIT
-[mimic-fn@2.1.0](https://github.com/sindresorhus/mimic-fn) - MIT
-[minimatch@3.1.2](https://github.com/isaacs/minimatch) - ISC
-[minimatch@9.0.3](https://github.com/isaacs/minimatch) - ISC
-[minimatch@9.0.5](https://github.com/isaacs/minimatch) - ISC
-[minimist@1.2.8](https://github.com/minimistjs/minimist) - MIT
-[minipass@7.1.2](https://github.com/isaacs/minipass) - ISC
-[minizlib@3.0.1](https://github.com/isaacs/minizlib) - MIT
-[mkdirp@3.0.1](https://github.com/isaacs/node-mkdirp) - MIT
-[mnemonist@0.38.3](https://github.com/yomguithereal/mnemonist) - MIT
-[ms@2.1.2](https://github.com/zeit/ms) - MIT
-[ms@2.1.3](https://github.com/vercel/ms) - MIT
-[natural-compare@1.4.0](https://github.com/litejs/natural-compare-lite) - MIT
-[node-domexception@1.0.0](https://github.com/jimmywarting/node-domexception) - MIT
-[node-fetch@2.7.0](https://github.com/bitinn/node-fetch) - MIT
-[node-int64@0.4.0](https://github.com/broofa/node-int64) - MIT
-[node-releases@2.0.14](https://github.com/chicoxyzzy/node-releases) - MIT
-[normalize-path@3.0.0](https://github.com/jonschlinkert/normalize-path) - MIT
-[npm-run-path@4.0.1](https://github.com/sindresorhus/npm-run-path) - MIT
-[obliterator@1.6.1](https://github.com/yomguithereal/obliterator) - MIT
-[once@1.4.0](https://github.com/isaacs/once) - ISC
-[onetime@5.1.2](https://github.com/sindresorhus/onetime) - MIT
-[onnxruntime-common@1.19.2](https://github.com/Microsoft/onnxruntime) - MIT
-[onnxruntime-common@1.20.0-dev.20241016-2b8fc5529b](https://github.com/Microsoft/onnxruntime) - MIT
-[onnxruntime-node@1.19.2](https://github.com/Microsoft/onnxruntime) - MIT
-[onnxruntime-web@1.21.0-dev.20241024-d9ca84ef96](https://github.com/Microsoft/onnxruntime) - MIT
-[openai@4.29.2](https://github.com/openai/openai-node) - Apache-2.0
-[optionator@0.9.3](https://github.com/gkz/optionator) - MIT
-[p-limit@2.3.0](https://github.com/sindresorhus/p-limit) - MIT
-[p-limit@3.1.0](https://github.com/sindresorhus/p-limit) - MIT
-[p-locate@4.1.0](https://github.com/sindresorhus/p-locate) - MIT
-[p-locate@5.0.0](https://github.com/sindresorhus/p-locate) - MIT
-[p-try@2.2.0](https://github.com/sindresorhus/p-try) - MIT
-[package-json-from-dist@1.0.1](https://github.com/isaacs/package-json-from-dist) - BlueOak-1.0.0
-[parent-module@1.0.1](https://github.com/sindresorhus/parent-module) - MIT
-[parse-json@5.2.0](https://github.com/sindresorhus/parse-json) - MIT
-[path-exists@4.0.0](https://github.com/sindresorhus/path-exists) - MIT
-[path-is-absolute@1.0.1](https://github.com/sindresorhus/path-is-absolute) - MIT
-[path-key@3.1.1](https://github.com/sindresorhus/path-key) - MIT
-[path-parse@1.0.7](https://github.com/jbgutierrez/path-parse) - MIT
-[path-scurry@1.11.1](https://github.com/isaacs/path-scurry) - BlueOak-1.0.0
-[path-type@4.0.0](https://github.com/sindresorhus/path-type) - MIT
-[picocolors@1.0.0](https://github.com/alexeyraspopov/picocolors) - ISC
-[picomatch@2.3.1](https://github.com/micromatch/picomatch) - MIT
-[pirates@4.0.6](https://github.com/danez/pirates) - MIT
-[pkg-dir@4.2.0](https://github.com/sindresorhus/pkg-dir) - MIT
-[platform@1.3.6](https://github.com/bestiejs/platform.js) - MIT
-[prelude-ls@1.2.1](https://github.com/gkz/prelude-ls) - MIT
-[pretty-format@29.7.0](https://github.com/jestjs/jest) - MIT
-[prompts@2.4.2](https://github.com/terkelg/prompts) - MIT
-[protobufjs@7.4.0](https://github.com/protobufjs/protobuf.js) - BSD-3-Clause
-[proxy-from-env@1.1.0](https://github.com/Rob--W/proxy-from-env) - MIT
-[punycode.js@2.3.1](https://github.com/mathiasbynens/punycode.js) - MIT
-[punycode@2.3.1](https://github.com/mathiasbynens/punycode.js) - MIT
-[pure-rand@6.0.4](https://github.com/dubzzz/pure-rand) - MIT
-[queue-microtask@1.2.3](https://github.com/feross/queue-microtask) - MIT
-[react-is@18.2.0](https://github.com/facebook/react) - MIT
-[rechoir@0.6.2](https://github.com/tkellen/node-rechoir) - MIT
-[reflect-metadata@0.2.2](https://github.com/rbuckton/reflect-metadata) - Apache-2.0
-[require-directory@2.1.1](https://github.com/troygoode/node-require-directory) - MIT
-[resolve-cwd@3.0.0](https://github.com/sindresorhus/resolve-cwd) - MIT
-[resolve-from@4.0.0](https://github.com/sindresorhus/resolve-from) - MIT
-[resolve-from@5.0.0](https://github.com/sindresorhus/resolve-from) - MIT
-[resolve.exports@2.0.2](https://github.com/lukeed/resolve.exports) - MIT
-[resolve@1.22.8](https://github.com/browserify/resolve) - MIT
-[reusify@1.0.4](https://github.com/mcollina/reusify) - MIT
-[rimraf@3.0.2](https://github.com/isaacs/rimraf) - ISC
-[rimraf@5.0.10](https://github.com/isaacs/rimraf) - ISC
-[run-parallel@1.2.0](https://github.com/feross/run-parallel) - MIT
-[semver@6.3.1](https://github.com/npm/node-semver) - ISC
-[semver@7.6.3](https://github.com/npm/node-semver) - ISC
-[sharp@0.33.5](https://github.com/lovell/sharp) - Apache-2.0
-[shebang-command@2.0.0](https://github.com/kevva/shebang-command) - MIT
-[shebang-regex@3.0.0](https://github.com/sindresorhus/shebang-regex) - MIT
-[shelljs@0.8.5](https://github.com/shelljs/shelljs) - BSD-3-Clause
-[shiki@1.10.3](https://github.com/shikijs/shiki) - MIT
-[shx@0.3.4](https://github.com/shelljs/shx) - MIT
-[signal-exit@3.0.7](https://github.com/tapjs/signal-exit) - ISC
-[signal-exit@4.1.0](https://github.com/tapjs/signal-exit) - ISC
-[simple-swizzle@0.2.2](https://github.com/qix-/node-simple-swizzle) - MIT
-[sisteransi@1.0.5](https://github.com/terkelg/sisteransi) - MIT
-[slash@3.0.0](https://github.com/sindresorhus/slash) - MIT
-[source-map-support@0.5.13](https://github.com/evanw/node-source-map-support) - MIT
-[source-map@0.6.1](https://github.com/mozilla/source-map) - BSD-3-Clause
-[sprintf-js@1.0.3](https://github.com/alexei/sprintf.js) - BSD-3-Clause
-[stack-utils@2.0.6](https://github.com/tapjs/stack-utils) - MIT
-[stream-read-all@3.0.1](https://github.com/75lb/stream-read-all) - MIT
-[string-length@4.0.2](https://github.com/sindresorhus/string-length) - MIT
-[string-width@4.2.3](https://github.com/sindresorhus/string-width) - MIT
-[string-width@5.1.2](https://github.com/sindresorhus/string-width) - MIT
-[strip-ansi@6.0.1](https://github.com/chalk/strip-ansi) - MIT
-[strip-ansi@7.1.0](https://github.com/chalk/strip-ansi) - MIT
-[strip-bom@4.0.0](https://github.com/sindresorhus/strip-bom) - MIT
-[strip-final-newline@2.0.0](https://github.com/sindresorhus/strip-final-newline) - MIT
-[strip-json-comments@3.1.1](https://github.com/sindresorhus/strip-json-comments) - MIT
-[strnum@1.0.5](https://github.com/NaturalIntelligence/strnum) - MIT
-[supports-color@7.2.0](https://github.com/chalk/supports-color) - MIT
-[supports-color@8.1.1](https://github.com/chalk/supports-color) - MIT
-[supports-preserve-symlinks-flag@1.0.0](https://github.com/inspect-js/node-supports-preserve-symlinks-flag) - MIT
-[table-layout@3.0.2](https://github.com/75lb/table-layout) - MIT
-[tar@7.4.3](https://github.com/isaacs/node-tar) - ISC
-[test-exclude@6.0.0](https://github.com/istanbuljs/test-exclude) - ISC
-[text-table@0.2.0](https://github.com/substack/text-table) - MIT
-[tmp@0.2.3](https://github.com/raszi/node-tmp) - MIT
-[tmpl@1.0.5](https://github.com/daaku/nodejs-tmpl) - BSD-3-Clause
-[to-regex-range@5.0.1](https://github.com/micromatch/to-regex-range) - MIT
-[tr46@0.0.3](https://github.com/Sebmaster/tr46.js) - MIT
-[ts-api-utils@1.0.3](https://github.com/JoshuaKGoldberg/ts-api-utils) - MIT
-[ts-jest@29.1.2](https://github.com/kulshekhar/ts-jest) - MIT
-[tslib@1.14.1](https://github.com/Microsoft/tslib) - 0BSD
-[tslib@2.6.2](https://github.com/Microsoft/tslib) - 0BSD
-[type-check@0.4.0](https://github.com/gkz/type-check) - MIT
-[type-detect@4.0.8](https://github.com/chaijs/type-detect) - MIT
-[type-fest@0.20.2](https://github.com/sindresorhus/type-fest) - (MIT OR CC0-1.0)
-[type-fest@0.21.3](https://github.com/sindresorhus/type-fest) - (MIT OR CC0-1.0)
-[typedoc-plugin-markdown@4.2.1](https://github.com/typedoc2md/typedoc-plugin-markdown) - MIT
-[typedoc@0.26.4](https://github.com/TypeStrong/TypeDoc) - Apache-2.0
-[typescript-eslint@7.1.0](https://github.com/typescript-eslint/typescript-eslint) - MIT
-[typescript@5.5.4](https://github.com/Microsoft/TypeScript) - Apache-2.0
-[typical@4.0.0](https://github.com/75lb/typical) - MIT
-[typical@7.1.1](https://github.com/75lb/typical) - MIT
-[uc.micro@2.1.0](https://github.com/markdown-it/uc.micro) - MIT
-[undici-types@5.26.5](https://github.com/nodejs/undici) - MIT
-[undici-types@6.19.8](https://github.com/nodejs/undici) - MIT
-[update-browserslist-db@1.0.13](https://github.com/browserslist/update-db) - MIT
-[uri-js@4.4.1](https://github.com/garycourt/uri-js) - BSD-2-Clause
-[uuid@9.0.1](https://github.com/uuidjs/uuid) - MIT
-[v8-to-istanbul@9.2.0](https://github.com/istanbuljs/v8-to-istanbul) - ISC
-[walker@1.0.8](https://github.com/daaku/nodejs-walker) - Apache-2.0
-[web-streams-polyfill@3.3.3](https://github.com/MattiasBuelens/web-streams-polyfill) - MIT
-[web-streams-polyfill@4.0.0-beta.3](https://github.com/MattiasBuelens/web-streams-polyfill) - MIT
-[webidl-conversions@3.0.1](https://github.com/jsdom/webidl-conversions) - BSD-2-Clause
-[whatwg-url@5.0.0](https://github.com/jsdom/whatwg-url) - MIT
-[which@2.0.2](https://github.com/isaacs/node-which) - ISC
-[wordwrapjs@5.1.0](https://github.com/75lb/wordwrapjs) - MIT
-[wrap-ansi@7.0.0](https://github.com/chalk/wrap-ansi) - MIT
-[wrap-ansi@8.1.0](https://github.com/chalk/wrap-ansi) - MIT
-[wrappy@1.0.2](https://github.com/npm/wrappy) - ISC
-[write-file-atomic@4.0.2](https://github.com/npm/write-file-atomic) - ISC
-[y18n@5.0.8](https://github.com/yargs/y18n) - ISC
-[yallist@3.1.1](https://github.com/isaacs/yallist) - ISC
-[yallist@5.0.0](https://github.com/isaacs/yallist) - BlueOak-1.0.0
-[yaml@2.4.5](https://github.com/eemeli/yaml) - ISC
-[yargs-parser@21.1.1](https://github.com/yargs/yargs-parser) - ISC
-[yargs@17.7.2](https://github.com/yargs/yargs) - MIT
-[yocto-queue@0.1.0](https://github.com/sindresorhus/yocto-queue) - MIT
--- a/nodejs/RUST_THIRD_PARTY_LICENSES.html
+++ b/nodejs/RUST_THIRD_PARTY_LICENSES.html
--- a/nodejs/lancedb/index.ts
+++ b/nodejs/lancedb/index.ts
@@ -273,9 +273,7 @@ export async function connect(
  let nativeProvider: NativeJsHeaderProvider | undefined;
  if (finalHeaderProvider) {
    if (typeof finalHeaderProvider === "function") {
-      nativeProvider = new NativeJsHeaderProvider(async () =>
-        finalHeaderProvider(),
-      );
+      nativeProvider = new NativeJsHeaderProvider(finalHeaderProvider);
    } else if (
      finalHeaderProvider &&
      typeof finalHeaderProvider.getHeaders === "function"
--- a/nodejs/lancedb/query.ts
+++ b/nodejs/lancedb/query.ts
@@ -684,17 +684,19 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {

  rerank(reranker: Reranker): VectorQuery {
    super.doCall((inner) =>
-      inner.rerank(async (args) => {
-        const vecResults = await fromBufferToRecordBatch(args.vecResults);
-        const ftsResults = await fromBufferToRecordBatch(args.ftsResults);
-        const result = await reranker.rerankHybrid(
-          args.query,
-          vecResults as RecordBatch,
-          ftsResults as RecordBatch,
-        );
+      inner.rerank({
+        rerankHybrid: async (_, args) => {
+          const vecResults = await fromBufferToRecordBatch(args.vecResults);
+          const ftsResults = await fromBufferToRecordBatch(args.ftsResults);
+          const result = await reranker.rerankHybrid(
+            args.query,
+            vecResults as RecordBatch,
+            ftsResults as RecordBatch,
+          );

-        const buffer = fromRecordBatchToBuffer(result);
-        return buffer;
+          const buffer = fromRecordBatchToBuffer(result);
+          return buffer;
+        },
      }),
    );

--- a/nodejs/lancedb/table.ts
+++ b/nodejs/lancedb/table.ts
@@ -542,35 +542,6 @@ export abstract class Table {
   *
   */
  abstract stats(): Promise<TableStatistics>;
-
-  /**
-   * Get the initial storage options that were passed in when opening this table.
-   *
-   * For dynamically refreshed options (e.g., credential vending), use
-   * {@link Table.latestStorageOptions}.
-   *
-   * Warning: This is an internal API and the return value is subject to change.
-   *
-   * @returns The storage options, or undefined if no storage options were configured.
-   */
-  abstract initialStorageOptions(): Promise<
-    Record<string, string> | null | undefined
-  >;
-
-  /**
-   * Get the latest storage options, refreshing from provider if configured.
-   *
-   * This method is useful for credential vending scenarios where storage options
-   * may be refreshed dynamically. If no dynamic provider is configured, this
-   * returns the initial static options.
-   *
-   * Warning: This is an internal API and the return value is subject to change.
-   *
-   * @returns The storage options, or undefined if no storage options were configured.
-   */
-  abstract latestStorageOptions(): Promise<
-    Record<string, string> | null | undefined
-  >;
 }

 export class LocalTable extends Table {
@@ -907,18 +878,6 @@ export class LocalTable extends Table {
    return await this.inner.stats();
  }

-  async initialStorageOptions(): Promise<
-    Record<string, string> | null | undefined
-  > {
-    return await this.inner.initialStorageOptions();
-  }
-
-  async latestStorageOptions(): Promise<
-    Record<string, string> | null | undefined
-  > {
-    return await this.inner.latestStorageOptions();
-  }
-
  mergeInsert(on: string | string[]): MergeInsertBuilder {
    on = Array.isArray(on) ? on : [on];
    return new MergeInsertBuilder(this.inner.mergeInsert(on), this.schema());
--- a/nodejs/npm/darwin-arm64/package.json
+++ b/nodejs/npm/darwin-arm64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.27.0-beta.2",
+	"version": "0.25.0-beta.0",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
@@ -8,9 +8,5 @@
 	"license": "Apache-2.0",
 	"engines": {
 		"node": ">= 18"
-	},
-	"repository": {
-		"type": "git",
-		"url": "https://github.com/lancedb/lancedb"
 	}
 }
--- a/nodejs/npm/darwin-x64/README.md
+++ b/nodejs/npm/darwin-x64/README.md
@@ -0,0 +1,3 @@
+# `@lancedb/lancedb-darwin-x64`
+
+This is the **x86_64-apple-darwin** binary for `@lancedb/lancedb`
--- a/nodejs/npm/darwin-x64/package.json
+++ b/nodejs/npm/darwin-x64/package.json
@@ -0,0 +1,12 @@
+{
+	"name": "@lancedb/lancedb-darwin-x64",
+	"version": "0.25.0-beta.0",
+	"os": ["darwin"],
+	"cpu": ["x64"],
+	"main": "lancedb.darwin-x64.node",
+	"files": ["lancedb.darwin-x64.node"],
+	"license": "Apache-2.0",
+	"engines": {
+		"node": ">= 18"
+	}
+}
--- a/nodejs/npm/linux-arm64-gnu/package.json
+++ b/nodejs/npm/linux-arm64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.27.0-beta.2",
+	"version": "0.25.0-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
@@ -9,9 +9,5 @@
 	"engines": {
 		"node": ">= 18"
 	},
-	"libc": ["glibc"],
-	"repository": {
-		"type": "git",
-		"url": "https://github.com/lancedb/lancedb"
-	}
+	"libc": ["glibc"]
 }
--- a/nodejs/npm/linux-arm64-musl/package.json
+++ b/nodejs/npm/linux-arm64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.27.0-beta.2",
+	"version": "0.25.0-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
@@ -9,9 +9,5 @@
 	"engines": {
 		"node": ">= 18"
 	},
-	"libc": ["musl"],
-	"repository": {
-		"type": "git",
-		"url": "https://github.com/lancedb/lancedb"
-	}
+	"libc": ["musl"]
 }
--- a/nodejs/npm/linux-x64-gnu/package.json
+++ b/nodejs/npm/linux-x64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.27.0-beta.2",
+	"version": "0.25.0-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
@@ -9,9 +9,5 @@
 	"engines": {
 		"node": ">= 18"
 	},
-	"libc": ["glibc"],
-	"repository": {
-		"type": "git",
-		"url": "https://github.com/lancedb/lancedb"
-	}
+	"libc": ["glibc"]
 }
--- a/nodejs/npm/linux-x64-musl/package.json
+++ b/nodejs/npm/linux-x64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.27.0-beta.2",
+	"version": "0.25.0-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
@@ -9,9 +9,5 @@
 	"engines": {
 		"node": ">= 18"
 	},
-	"libc": ["musl"],
-	"repository": {
-		"type": "git",
-		"url": "https://github.com/lancedb/lancedb"
-	}
+	"libc": ["musl"]
 }
--- a/nodejs/npm/win32-arm64-msvc/package.json
+++ b/nodejs/npm/win32-arm64-msvc/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.27.0-beta.2",
+  "version": "0.25.0-beta.0",
  "os": [
    "win32"
  ],
@@ -14,9 +14,5 @@
  "license": "Apache-2.0",
  "engines": {
    "node": ">= 18"
-  },
-  "repository": {
-    "type": "git",
-    "url": "https://github.com/lancedb/lancedb"
  }
 }
--- a/nodejs/npm/win32-x64-msvc/package.json
+++ b/nodejs/npm/win32-x64-msvc/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.27.0-beta.2",
+	"version": "0.25.0-beta.0",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
@@ -8,9 +8,5 @@
 	"license": "Apache-2.0",
 	"engines": {
 		"node": ">= 18"
-	},
-	"repository": {
-		"type": "git",
-		"url": "https://github.com/lancedb/lancedb"
 	}
 }
--- a/nodejs/package-lock.json
+++ b/nodejs/package-lock.json
--- a/nodejs/package.json
+++ b/nodejs/package.json
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.27.0-beta.2",
+  "version": "0.25.0-beta.0",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
@@ -21,29 +21,29 @@
  },
  "types": "dist/index.d.ts",
  "napi": {
-    "binaryName": "lancedb",
-    "targets": [
-      "aarch64-apple-darwin",
-      "x86_64-unknown-linux-gnu",
-      "aarch64-unknown-linux-gnu",
-      "x86_64-unknown-linux-musl",
-      "aarch64-unknown-linux-musl",
-      "x86_64-pc-windows-msvc",
-      "aarch64-pc-windows-msvc"
-    ]
+    "name": "lancedb",
+    "triples": {
+      "defaults": false,
+      "additional": [
+        "x86_64-apple-darwin",
+        "aarch64-apple-darwin",
+        "x86_64-unknown-linux-gnu",
+        "aarch64-unknown-linux-gnu",
+        "x86_64-unknown-linux-musl",
+        "aarch64-unknown-linux-musl",
+        "x86_64-pc-windows-msvc",
+        "aarch64-pc-windows-msvc"
+      ]
+    }
  },
  "license": "Apache-2.0",
-  "repository": {
-    "type": "git",
-    "url": "https://github.com/lancedb/lancedb"
-  },
  "devDependencies": {
    "@aws-sdk/client-dynamodb": "^3.33.0",
    "@aws-sdk/client-kms": "^3.33.0",
    "@aws-sdk/client-s3": "^3.33.0",
    "@biomejs/biome": "^1.7.3",
    "@jest/globals": "^29.7.0",
-    "@napi-rs/cli": "^3.5.1",
+    "@napi-rs/cli": "^2.18.3",
    "@types/axios": "^0.14.0",
    "@types/jest": "^29.1.2",
    "@types/node": "^22.7.4",
@@ -72,9 +72,9 @@
  "os": ["darwin", "linux", "win32"],
  "scripts": {
    "artifacts": "napi artifacts",
-    "build:debug": "napi build --platform --dts ../lancedb/native.d.ts --js ../lancedb/native.js --output-dir lancedb",
+    "build:debug": "napi build --platform --no-const-enum --dts ../lancedb/native.d.ts --js ../lancedb/native.js lancedb",
    "postbuild:debug": "shx mkdir -p dist && shx cp lancedb/*.node dist/",
-    "build:release": "napi build --platform --release --dts ../lancedb/native.d.ts --js ../lancedb/native.js --output-dir dist",
+    "build:release": "napi build --platform --no-const-enum --release --dts ../lancedb/native.d.ts --js ../lancedb/native.js dist/",
    "postbuild:release": "shx mkdir -p dist && shx cp lancedb/*.node dist/",
    "build": "npm run build:debug && npm run tsc",
    "build-release": "npm run build:release && npm run tsc",
@@ -88,7 +88,7 @@
    "prepublishOnly": "napi prepublish -t npm",
    "test": "jest --verbose",
    "integration": "S3_TEST=1 npm run test",
-    "universal": "napi universalize",
+    "universal": "napi universal",
    "version": "napi version"
  },
  "dependencies": {
--- a/nodejs/src/connection.rs
+++ b/nodejs/src/connection.rs
@@ -13,7 +13,6 @@ use crate::header::JsHeaderProvider;
 use crate::table::Table;
 use crate::ConnectionOptions;
 use lancedb::connection::{ConnectBuilder, Connection as LanceDBConnection};
-
 use lancedb::ipc::{ipc_file_to_batches, ipc_file_to_schema};

 #[napi]
--- a/nodejs/src/header.rs
+++ b/nodejs/src/header.rs
@@ -1,19 +1,20 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-use napi::{bindgen_prelude::*, threadsafe_function::ThreadsafeFunction};
+use napi::{
+    bindgen_prelude::*,
+    threadsafe_function::{ErrorStrategy, ThreadsafeFunction},
+};
 use napi_derive::napi;
 use std::collections::HashMap;
 use std::sync::Arc;

-type GetHeadersFn = ThreadsafeFunction<(), Promise<HashMap<String, String>>, (), Status, false>;
-
 /// JavaScript HeaderProvider implementation that wraps a JavaScript callback.
 /// This is the only native header provider - all header provider implementations
 /// should provide a JavaScript function that returns headers.
 #[napi]
 pub struct JsHeaderProvider {
-    get_headers_fn: Arc<GetHeadersFn>,
+    get_headers_fn: Arc<ThreadsafeFunction<(), ErrorStrategy::CalleeHandled>>,
 }

 impl Clone for JsHeaderProvider {
@@ -28,12 +29,9 @@ impl Clone for JsHeaderProvider {
 impl JsHeaderProvider {
    /// Create a new JsHeaderProvider from a JavaScript callback
    #[napi(constructor)]
-    pub fn new(
-        get_headers_callback: Function<(), Promise<HashMap<String, String>>>,
-    ) -> Result<Self> {
+    pub fn new(get_headers_callback: JsFunction) -> Result<Self> {
        let get_headers_fn = get_headers_callback
-            .build_threadsafe_function()
-            .build()
+            .create_threadsafe_function(0, |ctx| Ok(vec![ctx.value]))
            .map_err(|e| {
                Error::new(
                    Status::GenericFailure,
@@ -53,7 +51,7 @@ impl lancedb::remote::HeaderProvider for JsHeaderProvider {
    async fn get_headers(&self) -> lancedb::error::Result<HashMap<String, String>> {
        // Call the JavaScript function asynchronously
        let promise: Promise<HashMap<String, String>> =
-            self.get_headers_fn.call_async(()).await.map_err(|e| {
+            self.get_headers_fn.call_async(Ok(())).await.map_err(|e| {
                lancedb::error::Error::Runtime {
                    message: format!("Failed to call JavaScript get_headers: {}", e),
                }
--- a/nodejs/src/lib.rs
+++ b/nodejs/src/lib.rs
@@ -60,7 +60,7 @@ pub struct OpenTableOptions {
    pub storage_options: Option<HashMap<String, String>>,
 }

-#[napi_derive::module_init]
+#[napi::module_init]
 fn init() {
    let env = Env::new()
        .filter_or("LANCEDB_LOG", "warn")
--- a/nodejs/src/query.rs
+++ b/nodejs/src/query.rs
@@ -20,8 +20,8 @@ use napi_derive::napi;
 use crate::error::convert_error;
 use crate::error::NapiErrorExt;
 use crate::iterator::RecordBatchIterator;
-use crate::rerankers::RerankHybridCallbackArgs;
 use crate::rerankers::Reranker;
+use crate::rerankers::RerankerCallbacks;
 use crate::util::{parse_distance_type, schema_to_buffer};

 #[napi]
@@ -42,7 +42,7 @@ impl Query {
    }

    #[napi]
-    pub fn full_text_search(&mut self, query: Object) -> napi::Result<()> {
+    pub fn full_text_search(&mut self, query: napi::JsObject) -> napi::Result<()> {
        let query = parse_fts_query(query)?;
        self.inner = self.inner.clone().full_text_search(query);
        Ok(())
@@ -235,7 +235,7 @@ impl VectorQuery {
    }

    #[napi]
-    pub fn full_text_search(&mut self, query: Object) -> napi::Result<()> {
+    pub fn full_text_search(&mut self, query: napi::JsObject) -> napi::Result<()> {
        let query = parse_fts_query(query)?;
        self.inner = self.inner.clone().full_text_search(query);
        Ok(())
@@ -272,13 +272,11 @@ impl VectorQuery {
    }

    #[napi]
-    pub fn rerank(
-        &mut self,
-        rerank_hybrid: Function<RerankHybridCallbackArgs, Promise<Buffer>>,
-    ) -> napi::Result<()> {
-        let reranker = Reranker::new(rerank_hybrid)?;
-        self.inner = self.inner.clone().rerank(Arc::new(reranker));
-        Ok(())
+    pub fn rerank(&mut self, callbacks: RerankerCallbacks) {
+        self.inner = self
+            .inner
+            .clone()
+            .rerank(Arc::new(Reranker::new(callbacks)));
    }

    #[napi(catch_unwind)]
@@ -525,12 +523,12 @@ impl JsFullTextQuery {
    }
 }

-fn parse_fts_query(query: Object) -> napi::Result<FullTextSearchQuery> {
-    if let Ok(Some(query)) = query.get::<&JsFullTextQuery>("query") {
+fn parse_fts_query(query: napi::JsObject) -> napi::Result<FullTextSearchQuery> {
+    if let Ok(Some(query)) = query.get::<_, &JsFullTextQuery>("query") {
        Ok(FullTextSearchQuery::new_query(query.inner.clone()))
-    } else if let Ok(Some(query_text)) = query.get::<String>("query") {
+    } else if let Ok(Some(query_text)) = query.get::<_, String>("query") {
        let mut query_text = query_text;
-        let columns = query.get::<Option<Vec<String>>>("columns")?.flatten();
+        let columns = query.get::<_, Option<Vec<String>>>("columns")?.flatten();

        let is_phrase =
            query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
--- a/nodejs/src/rerankers.rs
+++ b/nodejs/src/rerankers.rs
@@ -3,7 +3,10 @@

 use arrow_array::RecordBatch;
 use async_trait::async_trait;
-use napi::{bindgen_prelude::*, threadsafe_function::ThreadsafeFunction};
+use napi::{
+    bindgen_prelude::*,
+    threadsafe_function::{ErrorStrategy, ThreadsafeFunction},
+};
 use napi_derive::napi;

 use lancedb::ipc::batches_to_ipc_file;
@@ -12,28 +15,27 @@ use lancedb::{error::Error, ipc::ipc_file_to_batches};

 use crate::error::NapiErrorExt;

-type RerankHybridFn = ThreadsafeFunction<
-    RerankHybridCallbackArgs,
-    Promise<Buffer>,
-    RerankHybridCallbackArgs,
-    Status,
-    false,
->;
-
 /// Reranker implementation that "wraps" a NodeJS Reranker implementation.
 /// This contains references to the callbacks that can be used to invoke the
 /// reranking methods on the NodeJS implementation and handles serializing the
 /// record batches to Arrow IPC buffers.
+#[napi]
 pub struct Reranker {
-    rerank_hybrid: RerankHybridFn,
+    /// callback to the Javascript which will call the rerankHybrid method of
+    /// some Reranker implementation
+    rerank_hybrid: ThreadsafeFunction<RerankHybridCallbackArgs, ErrorStrategy::CalleeHandled>,
 }

+#[napi]
 impl Reranker {
-    pub fn new(
-        rerank_hybrid: Function<RerankHybridCallbackArgs, Promise<Buffer>>,
-    ) -> napi::Result<Self> {
-        let rerank_hybrid = rerank_hybrid.build_threadsafe_function().build()?;
-        Ok(Self { rerank_hybrid })
+    #[napi]
+    pub fn new(callbacks: RerankerCallbacks) -> Self {
+        let rerank_hybrid = callbacks
+            .rerank_hybrid
+            .create_threadsafe_function(0, move |ctx| Ok(vec![ctx.value]))
+            .unwrap();
+
+        Self { rerank_hybrid }
    }
 }

@@ -47,16 +49,16 @@ impl lancedb::rerankers::Reranker for Reranker {
    ) -> lancedb::error::Result<RecordBatch> {
        let callback_args = RerankHybridCallbackArgs {
            query: query.to_string(),
-            vec_results: Buffer::from(batches_to_ipc_file(&[vector_results])?.as_ref()),
-            fts_results: Buffer::from(batches_to_ipc_file(&[fts_results])?.as_ref()),
+            vec_results: batches_to_ipc_file(&[vector_results])?,
+            fts_results: batches_to_ipc_file(&[fts_results])?,
        };
        let promised_buffer: Promise<Buffer> = self
            .rerank_hybrid
-            .call_async(callback_args)
+            .call_async(Ok(callback_args))
            .await
            .map_err(|e| Error::Runtime {
-            message: format!("napi error status={}, reason={}", e.status, e.reason),
-        })?;
+                message: format!("napi error status={}, reason={}", e.status, e.reason),
+            })?;
        let buffer = promised_buffer.await.map_err(|e| Error::Runtime {
            message: format!("napi error status={}, reason={}", e.status, e.reason),
        })?;
@@ -75,11 +77,16 @@ impl std::fmt::Debug for Reranker {
    }
 }

+#[napi(object)]
+pub struct RerankerCallbacks {
+    pub rerank_hybrid: JsFunction,
+}
+
 #[napi(object)]
 pub struct RerankHybridCallbackArgs {
    pub query: String,
-    pub vec_results: Buffer,
-    pub fts_results: Buffer,
+    pub vec_results: Vec<u8>,
+    pub fts_results: Vec<u8>,
 }

 fn buffer_to_record_batch(buffer: Buffer) -> Result<RecordBatch> {
--- a/nodejs/src/session.rs
+++ b/nodejs/src/session.rs
@@ -96,6 +96,7 @@ impl napi::bindgen_prelude::FromNapiValue for Session {
    ) -> napi::Result<Self> {
        let object: napi::bindgen_prelude::ClassInstance<Self> =
            napi::bindgen_prelude::ClassInstance::from_napi_value(env, napi_val)?;
-        Ok((*object).clone())
+        let copy = object.clone();
+        Ok(copy)
    }
 }
--- a/nodejs/src/table.rs
+++ b/nodejs/src/table.rs
@@ -71,17 +71,6 @@ impl Table {
    pub async fn add(&self, buf: Buffer, mode: String) -> napi::Result<AddResult> {
        let batches = ipc_file_to_batches(buf.to_vec())
            .map_err(|e| napi::Error::from_reason(format!("Failed to read IPC file: {}", e)))?;
-        let batches = batches
-            .into_iter()
-            .map(|batch| {
-                batch.map_err(|e| {
-                    napi::Error::from_reason(format!(
-                        "Failed to read record batch from IPC file: {}",
-                        e
-                    ))
-                })
-            })
-            .collect::<Result<Vec<_>>>()?;
        let mut op = self.inner_ref()?.add(batches);

        op = if mode == "append" {
@@ -177,19 +166,6 @@ impl Table {
        Ok(stats.into())
    }

-    #[napi(catch_unwind)]
-    pub async fn initial_storage_options(&self) -> napi::Result<Option<HashMap<String, String>>> {
-        Ok(self.inner_ref()?.initial_storage_options().await)
-    }
-
-    #[napi(catch_unwind)]
-    pub async fn latest_storage_options(&self) -> napi::Result<Option<HashMap<String, String>>> {
-        self.inner_ref()?
-            .latest_storage_options()
-            .await
-            .default_error()
-    }
-
    #[napi(catch_unwind)]
    pub async fn update(
        &self,
--- a/python/.bumpversion.toml
+++ b/python/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.30.0-beta.3"
+current_version = "0.28.0-beta.0"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/python/Cargo.toml
+++ b/python/Cargo.toml
@@ -1,13 +1,13 @@
 [package]
 name = "lancedb-python"
-version = "0.30.0-beta.3"
+version = "0.27.0"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true
 repository.workspace = true
 keywords.workspace = true
 categories.workspace = true
-rust-version = "1.91.0"
+rust-version = "1.88.0"

 [lib]
 name = "_lancedb"
--- a/python/PYTHON_THIRD_PARTY_LICENSES.md
+++ b/python/PYTHON_THIRD_PARTY_LICENSES.md
@@ -1,206 +0,0 @@
-| Name                           | Version         | License                                                                                          | URL                                                                                               |
-|--------------------------------|-----------------|--------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|
-| InstructorEmbedding            | 1.0.1           | Apache License 2.0                                                                               | https://github.com/HKUNLP/instructor-embedding                                                    |
-| Jinja2                         | 3.1.6           | BSD License                                                                                      | https://github.com/pallets/jinja/                                                                 |
-| Markdown                       | 3.10.2          | BSD-3-Clause                                                                                     | https://Python-Markdown.github.io/                                                                |
-| MarkupSafe                     | 3.0.3           | BSD-3-Clause                                                                                     | https://github.com/pallets/markupsafe/                                                            |
-| PyJWT                          | 2.11.0          | MIT                                                                                              | https://github.com/jpadilla/pyjwt                                                                 |
-| PyYAML                         | 6.0.3           | MIT License                                                                                      | https://pyyaml.org/                                                                               |
-| Pygments                       | 2.19.2          | BSD License                                                                                      | https://pygments.org                                                                              |
-| accelerate                     | 1.12.0          | Apache Software License                                                                          | https://github.com/huggingface/accelerate                                                         |
-| adlfs                          | 2026.2.0        | BSD License                                                                                      | UNKNOWN                                                                                           |
-| aiohappyeyeballs               | 2.6.1           | Python Software Foundation License                                                               | https://github.com/aio-libs/aiohappyeyeballs                                                      |
-| aiohttp                        | 3.13.3          | Apache-2.0 AND MIT                                                                               | https://github.com/aio-libs/aiohttp                                                               |
-| aiosignal                      | 1.4.0           | Apache Software License                                                                          | https://github.com/aio-libs/aiosignal                                                             |
-| annotated-types                | 0.7.0           | MIT License                                                                                      | https://github.com/annotated-types/annotated-types                                                |
-| anyio                          | 4.12.1          | MIT                                                                                              | https://anyio.readthedocs.io/en/stable/versionhistory.html                                        |
-| appnope                        | 0.1.4           | BSD License                                                                                      | http://github.com/minrk/appnope                                                                   |
-| asttokens                      | 3.0.1           | Apache 2.0                                                                                       | https://github.com/gristlabs/asttokens                                                            |
-| attrs                          | 25.4.0          | MIT                                                                                              | https://www.attrs.org/en/stable/changelog.html                                                    |
-| awscli                         | 1.44.35         | Apache Software License                                                                          | http://aws.amazon.com/cli/                                                                        |
-| azure-core                     | 1.38.0          | MIT License                                                                                      | https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/core/azure-core                       |
-| azure-datalake-store           | 0.0.53          | MIT License                                                                                      | https://github.com/Azure/azure-data-lake-store-python                                             |
-| azure-identity                 | 1.25.1          | MIT                                                                                              | https://github.com/Azure/azure-sdk-for-python                                                     |
-| azure-storage-blob             | 12.28.0         | MIT License                                                                                      | https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/storage/azure-storage-blob            |
-| babel                          | 2.18.0          | BSD License                                                                                      | https://babel.pocoo.org/                                                                          |
-| backrefs                       | 6.1             | MIT                                                                                              | https://github.com/facelessuser/backrefs                                                          |
-| beautifulsoup4                 | 4.14.3          | MIT License                                                                                      | https://www.crummy.com/software/BeautifulSoup/bs4/                                                |
-| bleach                         | 6.3.0           | Apache Software License                                                                          | https://github.com/mozilla/bleach                                                                 |
-| boto3                          | 1.42.45         | Apache-2.0                                                                                       | https://github.com/boto/boto3                                                                     |
-| botocore                       | 1.42.45         | Apache-2.0                                                                                       | https://github.com/boto/botocore                                                                  |
-| cachetools                     | 7.0.0           | MIT                                                                                              | https://github.com/tkem/cachetools/                                                               |
-| certifi                        | 2026.1.4        | Mozilla Public License 2.0 (MPL 2.0)                                                             | https://github.com/certifi/python-certifi                                                         |
-| cffi                           | 2.0.0           | MIT                                                                                              | https://cffi.readthedocs.io/en/latest/whatsnew.html                                               |
-| cfgv                           | 3.5.0           | MIT                                                                                              | https://github.com/asottile/cfgv                                                                  |
-| charset-normalizer             | 3.4.4           | MIT                                                                                              | https://github.com/jawah/charset_normalizer/blob/master/CHANGELOG.md                              |
-| click                          | 8.3.1           | BSD-3-Clause                                                                                     | https://github.com/pallets/click/                                                                 |
-| cohere                         | 5.20.4          | MIT License                                                                                      | https://github.com/cohere-ai/cohere-python                                                        |
-| colorama                       | 0.4.6           | BSD License                                                                                      | https://github.com/tartley/colorama                                                               |
-| colpali_engine                 | 0.3.13          | MIT License                                                                                      | https://github.com/illuin-tech/colpali                                                            |
-| comm                           | 0.2.3           | BSD License                                                                                      | https://github.com/ipython/comm                                                                   |
-| cryptography                   | 46.0.4          | Apache-2.0 OR BSD-3-Clause                                                                       | https://github.com/pyca/cryptography                                                              |
-| datafusion                     | 51.0.0          | Apache Software License                                                                          | https://datafusion.apache.org/python                                                              |
-| debugpy                        | 1.8.20          | MIT License                                                                                      | https://aka.ms/debugpy                                                                            |
-| decorator                      | 5.2.1           | BSD License                                                                                      | UNKNOWN                                                                                           |
-| defusedxml                     | 0.7.1           | Python Software Foundation License                                                               | https://github.com/tiran/defusedxml                                                               |
-| deprecation                    | 2.1.0           | Apache Software License                                                                          | http://deprecation.readthedocs.io/                                                                |
-| distlib                        | 0.4.0           | Python Software Foundation License                                                               | https://github.com/pypa/distlib                                                                   |
-| distro                         | 1.9.0           | Apache Software License                                                                          | https://github.com/python-distro/distro                                                           |
-| docutils                       | 0.19            | BSD License; GNU General Public License (GPL); Public Domain; Python Software Foundation License | https://docutils.sourceforge.io/                                                                  |
-| duckdb                         | 1.4.4           | MIT License                                                                                      | https://github.com/duckdb/duckdb-python                                                           |
-| executing                      | 2.2.1           | MIT License                                                                                      | https://github.com/alexmojaki/executing                                                           |
-| fastavro                       | 1.12.1          | MIT                                                                                              | https://github.com/fastavro/fastavro                                                              |
-| fastjsonschema                 | 2.21.2          | BSD License                                                                                      | https://github.com/horejsek/python-fastjsonschema                                                 |
-| filelock                       | 3.20.3          | Unlicense                                                                                        | https://github.com/tox-dev/py-filelock                                                            |
-| frozenlist                     | 1.8.0           | Apache-2.0                                                                                       | https://github.com/aio-libs/frozenlist                                                            |
-| fsspec                         | 2026.2.0        | BSD-3-Clause                                                                                     | https://github.com/fsspec/filesystem_spec                                                         |
-| ftfy                           | 6.3.1           | Apache-2.0                                                                                       | https://ftfy.readthedocs.io/en/latest/                                                            |
-| ghp-import                     | 2.1.0           | Apache Software License                                                                          | https://github.com/c-w/ghp-import                                                                 |
-| google-ai-generativelanguage   | 0.6.15          | Apache Software License                                                                          | https://github.com/googleapis/google-cloud-python/tree/main/packages/google-ai-generativelanguage |
-| google-api-core                | 2.25.2          | Apache Software License                                                                          | https://github.com/googleapis/python-api-core                                                     |
-| google-api-python-client       | 2.189.0         | Apache Software License                                                                          | https://github.com/googleapis/google-api-python-client/                                           |
-| google-auth                    | 2.48.0          | Apache Software License                                                                          | https://github.com/googleapis/google-auth-library-python                                          |
-| google-auth-httplib2           | 0.3.0           | Apache Software License                                                                          | https://github.com/GoogleCloudPlatform/google-auth-library-python-httplib2                        |
-| google-generativeai            | 0.8.6           | Apache Software License                                                                          | https://github.com/google/generative-ai-python                                                    |
-| googleapis-common-protos       | 1.72.0          | Apache Software License                                                                          | https://github.com/googleapis/google-cloud-python/tree/main/packages/googleapis-common-protos     |
-| griffe                         | 2.0.0           | ISC                                                                                              | https://mkdocstrings.github.io/griffe                                                             |
-| griffecli                      | 2.0.0           | ISC                                                                                              | UNKNOWN                                                                                           |
-| griffelib                      | 2.0.0           | ISC                                                                                              | UNKNOWN                                                                                           |
-| grpcio                         | 1.78.0          | Apache-2.0                                                                                       | https://grpc.io                                                                                   |
-| grpcio-status                  | 1.71.2          | Apache Software License                                                                          | https://grpc.io                                                                                   |
-| h11                            | 0.16.0          | MIT License                                                                                      | https://github.com/python-hyper/h11                                                               |
-| hf-xet                         | 1.2.0           | Apache-2.0                                                                                       | https://github.com/huggingface/xet-core                                                           |
-| httpcore                       | 1.0.9           | BSD-3-Clause                                                                                     | https://www.encode.io/httpcore/                                                                   |
-| httplib2                       | 0.31.2          | MIT License                                                                                      | https://github.com/httplib2/httplib2                                                              |
-| httpx                          | 0.28.1          | BSD License                                                                                      | https://github.com/encode/httpx                                                                   |
-| huggingface_hub                | 0.36.2          | Apache Software License                                                                          | https://github.com/huggingface/huggingface_hub                                                    |
-| ibm-cos-sdk                    | 2.14.3          | Apache Software License                                                                          | https://github.com/ibm/ibm-cos-sdk-python                                                         |
-| ibm-cos-sdk-core               | 2.14.3          | Apache Software License                                                                          | https://github.com/ibm/ibm-cos-sdk-python-core                                                    |
-| ibm-cos-sdk-s3transfer         | 2.14.3          | Apache Software License                                                                          | https://github.com/IBM/ibm-cos-sdk-python-s3transfer                                              |
-| ibm_watsonx_ai                 | 1.5.1           | BSD License                                                                                      | https://ibm.github.io/watsonx-ai-python-sdk/changelog.html                                        |
-| identify                       | 2.6.16          | MIT                                                                                              | https://github.com/pre-commit/identify                                                            |
-| idna                           | 3.11            | BSD-3-Clause                                                                                     | https://github.com/kjd/idna                                                                       |
-| iniconfig                      | 2.3.0           | MIT                                                                                              | https://github.com/pytest-dev/iniconfig                                                           |
-| ipykernel                      | 6.31.0          | BSD-3-Clause                                                                                     | https://ipython.org                                                                               |
-| ipython                        | 9.10.0          | BSD-3-Clause                                                                                     | https://ipython.org                                                                               |
-| ipython_pygments_lexers        | 1.1.1           | BSD License                                                                                      | https://github.com/ipython/ipython-pygments-lexers                                                |
-| isodate                        | 0.7.2           | BSD License                                                                                      | https://github.com/gweis/isodate/                                                                 |
-| jedi                           | 0.19.2          | MIT License                                                                                      | https://github.com/davidhalter/jedi                                                               |
-| jiter                          | 0.13.0          | MIT License                                                                                      | https://github.com/pydantic/jiter/                                                                |
-| jmespath                       | 1.0.1           | MIT License                                                                                      | https://github.com/jmespath/jmespath.py                                                           |
-| joblib                         | 1.5.3           | BSD-3-Clause                                                                                     | https://joblib.readthedocs.io                                                                     |
-| jsonschema                     | 4.26.0          | MIT                                                                                              | https://github.com/python-jsonschema/jsonschema                                                   |
-| jsonschema-specifications      | 2025.9.1        | MIT                                                                                              | https://github.com/python-jsonschema/jsonschema-specifications                                    |
-| jupyter_client                 | 8.8.0           | BSD License                                                                                      | https://jupyter.org                                                                               |
-| jupyter_core                   | 5.9.1           | BSD-3-Clause                                                                                     | https://jupyter.org                                                                               |
-| jupyterlab_pygments            | 0.3.0           | BSD License                                                                                      | https://github.com/jupyterlab/jupyterlab_pygments                                                 |
-| jupytext                       | 1.19.1          | MIT License                                                                                      | https://github.com/mwouts/jupytext                                                                |
-| lance-namespace                | 0.4.5           | Apache-2.0                                                                                       | https://github.com/lance-format/lance-namespace                                                   |
-| lance-namespace-urllib3-client | 0.4.5           | Apache-2.0                                                                                       | https://github.com/lance-format/lance-namespace                                                   |
-| lancedb                        | 0.29.2          | Apache Software License                                                                          | https://github.com/lancedb/lancedb                                                                |
-| lomond                         | 0.3.3           | BSD License                                                                                      | https://github.com/wildfoundry/dataplicity-lomond                                                 |
-| markdown-it-py                 | 4.0.0           | MIT License                                                                                      | https://github.com/executablebooks/markdown-it-py                                                 |
-| matplotlib-inline              | 0.2.1           | UNKNOWN                                                                                          | https://github.com/ipython/matplotlib-inline                                                      |
-| mdit-py-plugins                | 0.5.0           | MIT License                                                                                      | https://github.com/executablebooks/mdit-py-plugins                                                |
-| mdurl                          | 0.1.2           | MIT License                                                                                      | https://github.com/executablebooks/mdurl                                                          |
-| mergedeep                      | 1.3.4           | MIT License                                                                                      | https://github.com/clarketm/mergedeep                                                             |
-| mistune                        | 3.2.0           | BSD License                                                                                      | https://github.com/lepture/mistune                                                                |
-| mkdocs                         | 1.6.1           | BSD-2-Clause                                                                                     | https://github.com/mkdocs/mkdocs                                                                  |
-| mkdocs-autorefs                | 1.4.3           | ISC                                                                                              | https://mkdocstrings.github.io/autorefs                                                           |
-| mkdocs-get-deps                | 0.2.0           | MIT                                                                                              | https://github.com/mkdocs/get-deps                                                                |
-| mkdocs-jupyter                 | 0.25.1          | Apache-2.0                                                                                       | https://github.com/danielfrg/mkdocs-jupyter                                                       |
-| mkdocs-material                | 9.7.1           | MIT                                                                                              | https://github.com/squidfunk/mkdocs-material                                                      |
-| mkdocs-material-extensions     | 1.3.1           | MIT                                                                                              | https://github.com/facelessuser/mkdocs-material-extensions                                        |
-| mkdocstrings                   | 1.0.3           | ISC                                                                                              | https://mkdocstrings.github.io                                                                    |
-| mkdocstrings-python            | 2.0.2           | ISC                                                                                              | https://mkdocstrings.github.io/python                                                             |
-| mpmath                         | 1.3.0           | BSD License                                                                                      | http://mpmath.org/                                                                                |
-| msal                           | 1.34.0          | MIT License                                                                                      | https://github.com/AzureAD/microsoft-authentication-library-for-python                            |
-| msal-extensions                | 1.3.1           | MIT License                                                                                      | https://github.com/AzureAD/microsoft-authentication-extensions-for-python/releases                |
-| multidict                      | 6.7.1           | Apache License 2.0                                                                               | https://github.com/aio-libs/multidict                                                             |
-| nbclient                       | 0.10.4          | BSD License                                                                                      | https://jupyter.org                                                                               |
-| nbconvert                      | 7.17.0          | BSD License                                                                                      | https://jupyter.org                                                                               |
-| nbformat                       | 5.10.4          | BSD License                                                                                      | https://jupyter.org                                                                               |
-| nest-asyncio                   | 1.6.0           | BSD License                                                                                      | https://github.com/erdewit/nest_asyncio                                                           |
-| networkx                       | 3.6.1           | BSD-3-Clause                                                                                     | https://networkx.org/                                                                             |
-| nodeenv                        | 1.10.0          | BSD License                                                                                      | https://github.com/ekalinin/nodeenv                                                               |
-| numpy                          | 2.4.2           | BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0                                               | https://numpy.org                                                                                 |
-| ollama                         | 0.6.1           | MIT                                                                                              | https://ollama.com                                                                                |
-| open_clip_torch                | 3.2.0           | MIT License                                                                                      | https://github.com/mlfoundations/open_clip                                                        |
-| openai                         | 2.18.0          | Apache Software License                                                                          | https://github.com/openai/openai-python                                                           |
-| packaging                      | 26.0            | Apache-2.0 OR BSD-2-Clause                                                                       | https://github.com/pypa/packaging                                                                 |
-| paginate                       | 0.5.7           | MIT License                                                                                      | https://github.com/Signum/paginate                                                                |
-| pandas                         | 2.3.3           | BSD License                                                                                      | https://pandas.pydata.org                                                                         |
-| pandocfilters                  | 1.5.1           | BSD License                                                                                      | http://github.com/jgm/pandocfilters                                                               |
-| parso                          | 0.8.6           | MIT License                                                                                      | https://github.com/davidhalter/parso                                                              |
-| pathspec                       | 1.0.4           | Mozilla Public License 2.0 (MPL 2.0)                                                             | UNKNOWN                                                                                           |
-| peft                           | 0.17.1          | Apache Software License                                                                          | https://github.com/huggingface/peft                                                               |
-| pexpect                        | 4.9.0           | ISC License (ISCL)                                                                               | https://pexpect.readthedocs.io/                                                                   |
-| pillow                         | 12.1.0          | MIT-CMU                                                                                          | https://python-pillow.github.io                                                                   |
-| platformdirs                   | 4.5.1           | MIT                                                                                              | https://github.com/tox-dev/platformdirs                                                           |
-| pluggy                         | 1.6.0           | MIT License                                                                                      | UNKNOWN                                                                                           |
-| polars                         | 1.3.0           | MIT License                                                                                      | https://www.pola.rs/                                                                              |
-| pre_commit                     | 4.5.1           | MIT                                                                                              | https://github.com/pre-commit/pre-commit                                                          |
-| prompt_toolkit                 | 3.0.52          | BSD License                                                                                      | https://github.com/prompt-toolkit/python-prompt-toolkit                                           |
-| propcache                      | 0.4.1           | Apache Software License                                                                          | https://github.com/aio-libs/propcache                                                             |
-| proto-plus                     | 1.27.1          | Apache Software License                                                                          | https://github.com/googleapis/proto-plus-python                                                   |
-| protobuf                       | 5.29.6          | 3-Clause BSD License                                                                             | https://developers.google.com/protocol-buffers/                                                   |
-| psutil                         | 7.2.2           | BSD-3-Clause                                                                                     | https://github.com/giampaolo/psutil                                                               |
-| ptyprocess                     | 0.7.0           | ISC License (ISCL)                                                                               | https://github.com/pexpect/ptyprocess                                                             |
-| pure_eval                      | 0.2.3           | MIT License                                                                                      | http://github.com/alexmojaki/pure_eval                                                            |
-| pyarrow                        | 23.0.0          | Apache-2.0                                                                                       | https://arrow.apache.org/                                                                         |
-| pyarrow-stubs                  | 20.0.0.20251215 | BSD-2-Clause                                                                                     | https://github.com/zen-xu/pyarrow-stubs                                                           |
-| pyasn1                         | 0.6.2           | BSD-2-Clause                                                                                     | https://github.com/pyasn1/pyasn1                                                                  |
-| pyasn1_modules                 | 0.4.2           | BSD License                                                                                      | https://github.com/pyasn1/pyasn1-modules                                                          |
-| pycparser                      | 3.0             | BSD-3-Clause                                                                                     | https://github.com/eliben/pycparser                                                               |
-| pydantic                       | 2.12.5          | MIT                                                                                              | https://github.com/pydantic/pydantic                                                              |
-| pydantic_core                  | 2.41.5          | MIT                                                                                              | https://github.com/pydantic/pydantic-core                                                         |
-| pylance                        | 2.0.0           | Apache Software License                                                                          | UNKNOWN                                                                                           |
-| pymdown-extensions             | 10.20.1         | MIT                                                                                              | https://github.com/facelessuser/pymdown-extensions                                                |
-| pyparsing                      | 3.3.2           | MIT                                                                                              | https://github.com/pyparsing/pyparsing/                                                           |
-| pyright                        | 1.1.408         | MIT                                                                                              | https://github.com/RobertCraigie/pyright-python                                                   |
-| pytest                         | 9.0.2           | MIT                                                                                              | https://docs.pytest.org/en/latest/                                                                |
-| pytest-asyncio                 | 1.3.0           | Apache-2.0                                                                                       | https://github.com/pytest-dev/pytest-asyncio                                                      |
-| pytest-mock                    | 3.15.1          | MIT License                                                                                      | https://github.com/pytest-dev/pytest-mock/                                                        |
-| python-dateutil                | 2.9.0.post0     | Apache Software License; BSD License                                                             | https://github.com/dateutil/dateutil                                                              |
-| pytz                           | 2025.2          | MIT License                                                                                      | http://pythonhosted.org/pytz                                                                      |
-| pyyaml_env_tag                 | 1.1             | MIT                                                                                              | https://github.com/waylan/pyyaml-env-tag                                                          |
-| pyzmq                          | 27.1.0          | BSD License                                                                                      | https://pyzmq.readthedocs.org                                                                     |
-| referencing                    | 0.37.0          | MIT                                                                                              | https://github.com/python-jsonschema/referencing                                                  |
-| regex                          | 2026.1.15       | Apache-2.0 AND CNRI-Python                                                                       | https://github.com/mrabarnett/mrab-regex                                                          |
-| requests                       | 2.32.5          | Apache Software License                                                                          | https://requests.readthedocs.io                                                                   |
-| rpds-py                        | 0.30.0          | MIT                                                                                              | https://github.com/crate-py/rpds                                                                  |
-| rsa                            | 4.7.2           | Apache Software License                                                                          | https://stuvel.eu/rsa                                                                             |
-| ruff                           | 0.15.0          | MIT License                                                                                      | https://docs.astral.sh/ruff                                                                       |
-| s3transfer                     | 0.16.0          | Apache Software License                                                                          | https://github.com/boto/s3transfer                                                                |
-| safetensors                    | 0.7.0           | Apache Software License                                                                          | https://github.com/huggingface/safetensors                                                        |
-| scikit-learn                   | 1.8.0           | BSD-3-Clause                                                                                     | https://scikit-learn.org                                                                          |
-| scipy                          | 1.17.0          | BSD License                                                                                      | https://scipy.org/                                                                                |
-| sentence-transformers          | 5.2.2           | Apache Software License                                                                          | https://www.SBERT.net                                                                             |
-| sentencepiece                  | 0.2.1           | UNKNOWN                                                                                          | https://github.com/google/sentencepiece                                                           |
-| six                            | 1.17.0          | MIT License                                                                                      | https://github.com/benjaminp/six                                                                  |
-| sniffio                        | 1.3.1           | Apache Software License; MIT License                                                             | https://github.com/python-trio/sniffio                                                            |
-| soupsieve                      | 2.8.3           | MIT                                                                                              | https://github.com/facelessuser/soupsieve                                                         |
-| stack-data                     | 0.6.3           | MIT License                                                                                      | http://github.com/alexmojaki/stack_data                                                           |
-| sympy                          | 1.14.0          | BSD License                                                                                      | https://sympy.org                                                                                 |
-| tabulate                       | 0.9.0           | MIT License                                                                                      | https://github.com/astanin/python-tabulate                                                        |
-| tantivy                        | 0.25.1          | UNKNOWN                                                                                          | UNKNOWN                                                                                           |
-| threadpoolctl                  | 3.6.0           | BSD License                                                                                      | https://github.com/joblib/threadpoolctl                                                           |
-| timm                           | 1.0.24          | Apache Software License                                                                          | https://github.com/huggingface/pytorch-image-models                                               |
-| tinycss2                       | 1.4.0           | BSD License                                                                                      | https://www.courtbouillon.org/tinycss2                                                            |
-| tokenizers                     | 0.22.2          | Apache Software License                                                                          | https://github.com/huggingface/tokenizers                                                         |
-| torch                          | 2.8.0           | BSD License                                                                                      | https://pytorch.org/                                                                              |
-| torchvision                    | 0.23.0          | BSD                                                                                              | https://github.com/pytorch/vision                                                                 |
-| tornado                        | 6.5.4           | Apache Software License                                                                          | http://www.tornadoweb.org/                                                                        |
-| tqdm                           | 4.67.3          | MPL-2.0 AND MIT                                                                                  | https://tqdm.github.io                                                                            |
-| traitlets                      | 5.14.3          | BSD License                                                                                      | https://github.com/ipython/traitlets                                                              |
-| transformers                   | 4.57.6          | Apache Software License                                                                          | https://github.com/huggingface/transformers                                                       |
-| types-requests                 | 2.32.4.20260107 | Apache-2.0                                                                                       | https://github.com/python/typeshed                                                                |
-| typing-inspection              | 0.4.2           | MIT                                                                                              | https://github.com/pydantic/typing-inspection                                                     |
-| typing_extensions              | 4.15.0          | PSF-2.0                                                                                          | https://github.com/python/typing_extensions                                                       |
-| tzdata                         | 2025.3          | Apache-2.0                                                                                       | https://github.com/python/tzdata                                                                  |
-| uritemplate                    | 4.2.0           | BSD 3-Clause OR Apache-2.0                                                                       | https://uritemplate.readthedocs.org                                                               |
-| urllib3                        | 2.6.3           | MIT                                                                                              | https://github.com/urllib3/urllib3/blob/main/CHANGES.rst                                          |
-| virtualenv                     | 20.36.1         | MIT                                                                                              | https://github.com/pypa/virtualenv                                                                |
-| watchdog                       | 6.0.0           | Apache Software License                                                                          | https://github.com/gorakhargosh/watchdog                                                          |
-| webencodings                   | 0.5.1           | BSD License                                                                                      | https://github.com/SimonSapin/python-webencodings                                                 |
-| yarl                           | 1.22.0          | Apache Software License                                                                          | https://github.com/aio-libs/yarl                                                                  |
--- a/python/RUST_THIRD_PARTY_LICENSES.html
+++ b/python/RUST_THIRD_PARTY_LICENSES.html
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -59,9 +59,9 @@ tests = [
    "polars>=0.19, <=1.3.0",
    "tantivy",
    "pyarrow-stubs",
-    "pylance>=1.0.0b14,<3.0.0",
+    "pylance>=1.0.0b14",
    "requests",
-    "datafusion<52",
+    "datafusion",
 ]
 dev = [
    "ruff",
--- a/python/python/lancedb/_lancedb.pyi
+++ b/python/python/lancedb/_lancedb.pyi
@@ -180,8 +180,6 @@ class Table:
        delete_unverified: Optional[bool] = None,
    ) -> OptimizeStats: ...
    async def uri(self) -> str: ...
-    async def initial_storage_options(self) -> Optional[Dict[str, str]]: ...
-    async def latest_storage_options(self) -> Optional[Dict[str, str]]: ...
    @property
    def tags(self) -> Tags: ...
    def query(self) -> Query: ...
--- a/python/python/lancedb/arrow.py
+++ b/python/python/lancedb/arrow.py
@@ -1,10 +1,8 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors

-from functools import singledispatch
 from typing import List, Optional, Tuple, Union

-from lancedb.pydantic import LanceModel, model_to_dict
 import pyarrow as pa

 from ._lancedb import RecordBatchStream
@@ -82,32 +80,3 @@ def peek_reader(
        yield from reader

    return batch, pa.RecordBatchReader.from_batches(batch.schema, all_batches())
-
-
-@singledispatch
-def to_arrow(data) -> pa.Table:
-    """Convert a single data object to a pa.Table."""
-    raise NotImplementedError(f"to_arrow not implemented for type {type(data)}")
-
-
-@to_arrow.register(pa.RecordBatch)
-def _arrow_from_batch(data: pa.RecordBatch) -> pa.Table:
-    return pa.Table.from_batches([data])
-
-
-@to_arrow.register(pa.Table)
-def _arrow_from_table(data: pa.Table) -> pa.Table:
-    return data
-
-
-@to_arrow.register(list)
-def _arrow_from_list(data: list) -> pa.Table:
-    if not data:
-        raise ValueError("Cannot create table from empty list without a schema")
-
-    if isinstance(data[0], LanceModel):
-        schema = data[0].__class__.to_arrow_schema()
-        dicts = [model_to_dict(d) for d in data]
-        return pa.Table.from_pylist(dicts, schema=schema)
-
-    return pa.Table.from_pylist(data)
--- a/python/python/lancedb/embeddings/gte.py
+++ b/python/python/lancedb/embeddings/gte.py
@@ -2,7 +2,6 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors


-import warnings
 from typing import List, Union

 import numpy as np
@@ -16,8 +15,6 @@ from .utils import weak_lru
@register("gte-text")
 class GteEmbeddings(TextEmbeddingFunction):
    """
-    Deprecated: GTE embeddings should be used through sentence-transformers.
-
    An embedding function that uses GTE-LARGE MLX format(for Apple silicon devices only)
    as well as the standard cpu/gpu version from: https://huggingface.co/thenlper/gte-large.

@@ -64,13 +61,6 @@ class GteEmbeddings(TextEmbeddingFunction):

    def __init__(self, **kwargs):
        super().__init__(**kwargs)
-        warnings.warn(
-            "GTE embeddings as a standalone embedding function are deprecated. "
-            "Use the 'sentence-transformers' embedding function with a GTE model "
-            "instead.",
-            DeprecationWarning,
-            stacklevel=3,
-        )
        self._ndims = None
        if kwargs:
            self.mlx = kwargs.get("mlx", False)
--- a/python/python/lancedb/embeddings/openai.py
+++ b/python/python/lancedb/embeddings/openai.py
@@ -110,9 +110,6 @@ class OpenAIEmbeddings(TextEmbeddingFunction):
            valid_embeddings = {
                idx: v.embedding for v, idx in zip(rs.data, valid_indices)
            }
-        except openai.AuthenticationError:
-            logging.error("Authentication failed: Invalid API key provided")
-            raise
        except openai.BadRequestError:
            logging.exception("Bad request: %s", texts)
            return [None] * len(texts)
--- a/python/python/lancedb/embeddings/siglip.py
+++ b/python/python/lancedb/embeddings/siglip.py
@@ -6,7 +6,6 @@ import io
 import os
 from typing import TYPE_CHECKING, List, Union
 import urllib.parse as urlparse
-import warnings

 import numpy as np
 import pyarrow as pa
@@ -25,7 +24,6 @@ if TYPE_CHECKING:

@register("siglip")
 class SigLipEmbeddings(EmbeddingFunction):
-    # Deprecated: prefer CLIP embeddings via `open-clip`.
    model_name: str = "google/siglip-base-patch16-224"
    device: str = "cpu"
    batch_size: int = 64
@@ -38,12 +36,6 @@ class SigLipEmbeddings(EmbeddingFunction):

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
-        warnings.warn(
-            "SigLip embeddings are deprecated. Use CLIP embeddings via the "
-            "'open-clip' embedding function instead.",
-            DeprecationWarning,
-            stacklevel=3,
-        )
        transformers = attempt_import_or_raise("transformers")
        self._torch = attempt_import_or_raise("torch")

--- a/python/python/lancedb/embeddings/utils.py
+++ b/python/python/lancedb/embeddings/utils.py
@@ -269,11 +269,6 @@ def retry_with_exponential_backoff(
            # and say that it is assumed that if this portion errors out, it's due
            # to rate limit but the user should check the error message to be sure.
            except Exception as e:  # noqa: PERF203
-                # Don't retry on authentication errors (e.g., OpenAI 401)
-                # These are permanent failures that won't be fixed by retrying
-                if _is_non_retryable_error(e):
-                    raise
-
                num_retries += 1

                if num_retries > max_retries:
@@ -294,29 +289,6 @@ def retry_with_exponential_backoff(
    return wrapper


-def _is_non_retryable_error(error: Exception) -> bool:
-    """Check if an error should not be retried.
-
-    Args:
-        error: The exception to check
-
-    Returns:
-        True if the error should not be retried, False otherwise
-    """
-    # Check for OpenAI authentication errors
-    error_type = type(error).__name__
-    if error_type == "AuthenticationError":
-        return True
-
-    # Check for other common non-retryable HTTP status codes
-    # 401 Unauthorized, 403 Forbidden
-    if hasattr(error, "status_code"):
-        if error.status_code in (401, 403):
-            return True
-
-    return False
-
-
 def url_retrieve(url: str):
    """
    Parameters
--- a/python/python/lancedb/namespace.py
+++ b/python/python/lancedb/namespace.py
@@ -44,7 +44,7 @@ from lance_namespace import (
    ListNamespacesRequest,
    CreateNamespaceRequest,
    DropNamespaceRequest,
-    DeclareTableRequest,
+    CreateEmptyTableRequest,
 )
 from lancedb.table import AsyncTable, LanceTable, Table
 from lancedb.util import validate_table_name
@@ -318,20 +318,20 @@ class LanceNamespaceDBConnection(DBConnection):

        if location is None:
            # Table doesn't exist or mode is "create", reserve a new location
-            declare_request = DeclareTableRequest(
+            create_empty_request = CreateEmptyTableRequest(
                id=table_id,
                location=None,
                properties=self.storage_options if self.storage_options else None,
            )
-            declare_response = self._ns.declare_table(declare_request)
+            create_empty_response = self._ns.create_empty_table(create_empty_request)

-            if not declare_response.location:
+            if not create_empty_response.location:
                raise ValueError(
-                    "Table location is missing from declare_table response"
+                    "Table location is missing from create_empty_table response"
                )

-            location = declare_response.location
-            namespace_storage_options = declare_response.storage_options
+            location = create_empty_response.location
+            namespace_storage_options = create_empty_response.storage_options

        # Merge storage options: self.storage_options < user options < namespace options
        merged_storage_options = dict(self.storage_options)
@@ -759,20 +759,20 @@ class AsyncLanceNamespaceDBConnection:

        if location is None:
            # Table doesn't exist or mode is "create", reserve a new location
-            declare_request = DeclareTableRequest(
+            create_empty_request = CreateEmptyTableRequest(
                id=table_id,
                location=None,
                properties=self.storage_options if self.storage_options else None,
            )
-            declare_response = self._ns.declare_table(declare_request)
+            create_empty_response = self._ns.create_empty_table(create_empty_request)

-            if not declare_response.location:
+            if not create_empty_response.location:
                raise ValueError(
-                    "Table location is missing from declare_table response"
+                    "Table location is missing from create_empty_table response"
                )

-            location = declare_response.location
-            namespace_storage_options = declare_response.storage_options
+            location = create_empty_response.location
+            namespace_storage_options = create_empty_response.storage_options

        # Merge storage options: self.storage_options < user options < namespace options
        merged_storage_options = dict(self.storage_options)
--- a/python/python/lancedb/permutation.py
+++ b/python/python/lancedb/permutation.py
@@ -9,7 +9,7 @@ import json
 from ._lancedb import async_permutation_builder, PermutationReader
 from .table import LanceTable
 from .background_loop import LOOP
-from .util import batch_to_tensor, batch_to_tensor_rows
+from .util import batch_to_tensor
 from typing import Any, Callable, Iterator, Literal, Optional, TYPE_CHECKING, Union

 if TYPE_CHECKING:
@@ -333,11 +333,7 @@ class Transforms:
    """

    @staticmethod
-    def arrow2python(batch: pa.RecordBatch) -> list[dict[str, Any]]:
-        return batch.to_pylist()
-
-    @staticmethod
-    def arrow2pythoncol(batch: pa.RecordBatch) -> dict[str, list[Any]]:
+    def arrow2python(batch: pa.RecordBatch) -> dict[str, list[Any]]:
        return batch.to_pydict()

    @staticmethod
@@ -691,17 +687,7 @@ class Permutation:
            return

    def with_format(
-        self,
-        format: Literal[
-            "numpy",
-            "python",
-            "python_col",
-            "pandas",
-            "arrow",
-            "torch",
-            "torch_col",
-            "polars",
-        ],
+        self, format: Literal["numpy", "python", "pandas", "arrow", "torch", "polars"]
    ) -> "Permutation":
        """
        Set the format for batches
@@ -710,18 +696,16 @@ class Permutation:

        The format can be one of:
        - "numpy" - the batch will be a dict of numpy arrays (one per column)
-        - "python" - the batch will be a list of dicts (one per row)
-        - "python_col" - the batch will be a dict of lists (one entry per column)
+        - "python" - the batch will be a dict of lists (one per column)
        - "pandas" - the batch will be a pandas DataFrame
        - "arrow" - the batch will be a pyarrow RecordBatch
-        - "torch" - the batch will be a list of tensors, one per row
-        - "torch_col" - the batch will be a 2D torch tensor (first dim indexes columns)
+        - "torch" - the batch will be a two dimensional torch tensor
        - "polars" - the batch will be a polars DataFrame

        Conversion may or may not involve a data copy.  Lance uses Arrow internally
-        and so it is able to zero-copy to the arrow and polars formats.
+        and so it is able to zero-copy to the arrow and polars.

-        Conversion to torch_col will be zero-copy but will only support a subset of data
+        Conversion to torch will be zero-copy but will only support a subset of data
        types (numeric types).

        Conversion to numpy and/or pandas will typically be zero-copy for numeric
@@ -734,8 +718,6 @@ class Permutation:
        assert format is not None, "format is required"
        if format == "python":
            return self.with_transform(Transforms.arrow2python)
-        if format == "python_col":
-            return self.with_transform(Transforms.arrow2pythoncol)
        elif format == "numpy":
            return self.with_transform(Transforms.arrow2numpy)
        elif format == "pandas":
@@ -743,8 +725,6 @@ class Permutation:
        elif format == "arrow":
            return self.with_transform(Transforms.arrow2arrow)
        elif format == "torch":
-            return self.with_transform(batch_to_tensor_rows)
-        elif format == "torch_col":
            return self.with_transform(batch_to_tensor)
        elif format == "polars":
            return self.with_transform(Transforms.arrow2polars())
@@ -766,20 +746,15 @@ class Permutation:

    def __getitem__(self, index: int) -> Any:
        """
-        Returns a single row from the permutation by offset
-        """
-        return self.__getitems__([index])
+        Return a single row from the permutation

-    def __getitems__(self, indices: list[int]) -> Any:
-        """
-        Returns rows from the permutation by offset
-        """
+        The output will always be a python dictionary regardless of the format.

-        async def do_getitems():
-            return await self.reader.take_offsets(indices, selection=self.selection)
-
-        batch = LOOP.run(do_getitems())
-        return self.transform_fn(batch)
+        This method is mostly useful for debugging and exploration.  For actual
+        processing use [iter](#iter) or a torch data loader to perform batched
+        processing.
+        """
+        pass

    @deprecated(details="Use with_skip instead")
    def skip(self, skip: int) -> "Permutation":
--- a/python/python/lancedb/query.py
+++ b/python/python/lancedb/query.py
@@ -1462,7 +1462,6 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
        self._phrase_query = False
        self.ordering_field_name = ordering_field_name
        self._reranker = None
-        self._fast_search = None
        if isinstance(fts_columns, str):
            fts_columns = [fts_columns]
        self._fts_columns = fts_columns
@@ -1484,19 +1483,6 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
        self._phrase_query = phrase_query
        return self

-    def fast_search(self) -> LanceFtsQueryBuilder:
-        """
-        Skip a flat search of unindexed data. This will improve
-        search performance but search results will not include unindexed data.
-
-        Returns
-        -------
-        LanceFtsQueryBuilder
-            The LanceFtsQueryBuilder object.
-        """
-        self._fast_search = True
-        return self
-
    def to_query_object(self) -> Query:
        return Query(
            columns=self._columns,
@@ -1508,7 +1494,6 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
                query=self._query, columns=self._fts_columns
            ),
            offset=self._offset,
-            fast_search=self._fast_search,
        )

    def output_schema(self) -> pa.Schema:
@@ -1797,26 +1782,6 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
            vector_results = LanceHybridQueryBuilder._rank(vector_results, "_distance")
            fts_results = LanceHybridQueryBuilder._rank(fts_results, "_score")

-        # If both result sets are empty (e.g. after hard filtering),
-        # return early to avoid errors in reranking or score restoration.
-        if vector_results.num_rows == 0 and fts_results.num_rows == 0:
-            # Build a minimal empty table with the _relevance_score column
-            combined_schema = pa.unify_schemas(
-                [vector_results.schema, fts_results.schema],
-            )
-            empty = pa.table(
-                {
-                    col: pa.array([], type=combined_schema.field(col).type)
-                    for col in combined_schema.names
-                }
-            )
-            empty = empty.append_column(
-                "_relevance_score", pa.array([], type=pa.float32())
-            )
-            if not with_row_ids and "_rowid" in empty.column_names:
-                empty = empty.drop(["_rowid"])
-            return empty
-
        original_distances = None
        original_scores = None
        original_distance_row_ids = None
@@ -2153,17 +2118,19 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
        """  # noqa: E501
        self._create_query_builders()

-        reranker_label = str(self._reranker) if self._reranker else "No reranker"
-        vector_plan = self._table._explain_plan(
-            self._vector_query.to_query_object(), verbose=verbose
+        results = ["Vector Search Plan:"]
+        results.append(
+            self._table._explain_plan(
+                self._vector_query.to_query_object(), verbose=verbose
+            )
        )
-        fts_plan = self._table._explain_plan(
-            self._fts_query.to_query_object(), verbose=verbose
+        results.append("FTS Search Plan:")
+        results.append(
+            self._table._explain_plan(
+                self._fts_query.to_query_object(), verbose=verbose
+            )
        )
-        # Indent sub-plans under the reranker
-        indented_vector = "\n".join("  " + line for line in vector_plan.splitlines())
-        indented_fts = "\n".join("  " + line for line in fts_plan.splitlines())
-        return f"{reranker_label}\n  {indented_vector}\n  {indented_fts}"
+        return "\n".join(results)

    def analyze_plan(self):
        """Execute the query and display with runtime metrics.
@@ -3197,20 +3164,23 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        ...     plan = await table.query().nearest_to([1.0, 2.0]).nearest_to_text("hello").explain_plan(True)
        ...     print(plan)
        >>> asyncio.run(doctest_example()) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
-        RRFReranker(K=60)
-            ProjectionExec: expr=[vector@0 as vector, text@3 as text, _distance@2 as _distance]
-              Take: columns="vector, _rowid, _distance, (text)"
-                CoalesceBatchesExec: target_batch_size=1024
-                  GlobalLimitExec: skip=0, fetch=10
-                    FilterExec: _distance@2 IS NOT NULL
-                      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
-                        KNNVectorDistance: metric=l2
-                          LanceRead: uri=..., projection=[vector], ...
-            ProjectionExec: expr=[vector@2 as vector, text@3 as text, _score@1 as _score]
-              Take: columns="_rowid, _score, (vector), (text)"
-                CoalesceBatchesExec: target_batch_size=1024
-                  GlobalLimitExec: skip=0, fetch=10
-                    MatchQuery: column=text, query=hello
+        Vector Search Plan:
+        ProjectionExec: expr=[vector@0 as vector, text@3 as text, _distance@2 as _distance]
+          Take: columns="vector, _rowid, _distance, (text)"
+            CoalesceBatchesExec: target_batch_size=1024
+              GlobalLimitExec: skip=0, fetch=10
+                FilterExec: _distance@2 IS NOT NULL
+                  SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
+                    KNNVectorDistance: metric=l2
+                      LanceRead: uri=..., projection=[vector], ...
+        <BLANKLINE>
+        FTS Search Plan:
+        ProjectionExec: expr=[vector@2 as vector, text@3 as text, _score@1 as _score]
+          Take: columns="_rowid, _score, (vector), (text)"
+            CoalesceBatchesExec: target_batch_size=1024
+              GlobalLimitExec: skip=0, fetch=10
+                MatchQuery: column=text, query=hello
+        <BLANKLINE>

        Parameters
        ----------
@@ -3222,12 +3192,12 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        plan : str
        """  # noqa: E501

-        vector_plan = await self._inner.to_vector_query().explain_plan(verbose)
-        fts_plan = await self._inner.to_fts_query().explain_plan(verbose)
-        # Indent sub-plans under the reranker
-        indented_vector = "\n".join("  " + line for line in vector_plan.splitlines())
-        indented_fts = "\n".join("  " + line for line in fts_plan.splitlines())
-        return f"{self._reranker}\n  {indented_vector}\n  {indented_fts}"
+        results = ["Vector Search Plan:"]
+        results.append(await self._inner.to_vector_query().explain_plan(verbose))
+        results.append("FTS Search Plan:")
+        results.append(await self._inner.to_fts_query().explain_plan(verbose))
+
+        return "\n".join(results)

    async def analyze_plan(self):
        """
--- a/python/python/lancedb/rerankers/answerdotai.py
+++ b/python/python/lancedb/rerankers/answerdotai.py
@@ -42,18 +42,10 @@ class AnswerdotaiRerankers(Reranker):
        rerankers = attempt_import_or_raise(
            "rerankers"
        )  # import here for faster ops later
-        self.model_name = model_name
-        self.model_type = model_type
        self.reranker = rerankers.Reranker(
            model_name=model_name, model_type=model_type, **kwargs
        )

-    def __str__(self):
-        return (
-            f"AnswerdotaiRerankers(model_type={self.model_type}, "
-            f"model_name={self.model_name})"
-        )
-
    def _rerank(self, result_set: pa.Table, query: str):
        result_set = self._handle_empty_results(result_set)
        if len(result_set) == 0:
--- a/python/python/lancedb/rerankers/base.py
+++ b/python/python/lancedb/rerankers/base.py
@@ -40,9 +40,6 @@ class Reranker(ABC):
        if ARROW_VERSION.major <= 13:
            self._concat_tables_args = {"promote": True}

-    def __str__(self):
-        return self.__class__.__name__
-
    def rerank_vector(
        self,
        query: str,
--- a/python/python/lancedb/rerankers/cohere.py
+++ b/python/python/lancedb/rerankers/cohere.py
@@ -44,9 +44,6 @@ class CohereReranker(Reranker):
        self.top_n = top_n
        self.api_key = api_key

-    def __str__(self):
-        return f"CohereReranker(model_name={self.model_name})"
-
    @cached_property
    def _client(self):
        cohere = attempt_import_or_raise("cohere")
--- a/python/python/lancedb/rerankers/cross_encoder.py
+++ b/python/python/lancedb/rerankers/cross_encoder.py
@@ -50,9 +50,6 @@ class CrossEncoderReranker(Reranker):
        if self.device is None:
            self.device = "cuda" if torch.cuda.is_available() else "cpu"

-    def __str__(self):
-        return f"CrossEncoderReranker(model_name={self.model_name})"
-
    @cached_property
    def model(self):
        sbert = attempt_import_or_raise("sentence_transformers")
--- a/python/python/lancedb/rerankers/jinaai.py
+++ b/python/python/lancedb/rerankers/jinaai.py
@@ -45,9 +45,6 @@ class JinaReranker(Reranker):
        self.top_n = top_n
        self.api_key = api_key

-    def __str__(self):
-        return f"JinaReranker(model_name={self.model_name})"
-
    @cached_property
    def _client(self):
        import requests
--- a/python/python/lancedb/rerankers/linear_combination.py
+++ b/python/python/lancedb/rerankers/linear_combination.py
@@ -38,9 +38,6 @@ class LinearCombinationReranker(Reranker):
        self.weight = weight
        self.fill = fill

-    def __str__(self):
-        return f"LinearCombinationReranker(weight={self.weight}, fill={self.fill})"
-
    def rerank_hybrid(
        self,
        query: str,  # noqa: F821
--- a/python/python/lancedb/rerankers/mrr.py
+++ b/python/python/lancedb/rerankers/mrr.py
@@ -54,12 +54,6 @@ class MRRReranker(Reranker):
        self.weight_vector = weight_vector
        self.weight_fts = weight_fts

-    def __str__(self):
-        return (
-            f"MRRReranker(weight_vector={self.weight_vector}, "
-            f"weight_fts={self.weight_fts})"
-        )
-
    def rerank_hybrid(
        self,
        query: str,  # noqa: F821
--- a/python/python/lancedb/rerankers/openai.py
+++ b/python/python/lancedb/rerankers/openai.py
@@ -43,9 +43,6 @@ class OpenaiReranker(Reranker):
        self.column = column
        self.api_key = api_key

-    def __str__(self):
-        return f"OpenaiReranker(model_name={self.model_name})"
-
    def _rerank(self, result_set: pa.Table, query: str):
        result_set = self._handle_empty_results(result_set)
        if len(result_set) == 0:
--- a/python/python/lancedb/rerankers/rrf.py
+++ b/python/python/lancedb/rerankers/rrf.py
@@ -36,9 +36,6 @@ class RRFReranker(Reranker):
        super().__init__(return_score)
        self.K = K

-    def __str__(self):
-        return f"RRFReranker(K={self.K})"
-
    def rerank_hybrid(
        self,
        query: str,  # noqa: F821
--- a/python/python/lancedb/rerankers/voyageai.py
+++ b/python/python/lancedb/rerankers/voyageai.py
@@ -52,9 +52,6 @@ class VoyageAIReranker(Reranker):
        self.api_key = api_key
        self.truncation = truncation

-    def __str__(self):
-        return f"VoyageAIReranker(model_name={self.model_name})"
-
    @cached_property
    def _client(self):
        voyageai = attempt_import_or_raise("voyageai")
--- a/python/python/lancedb/scannable.py
+++ b/python/python/lancedb/scannable.py
@@ -1,214 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-from dataclasses import dataclass
-from functools import singledispatch
-import sys
-from typing import Callable, Iterator, Optional
-from lancedb.arrow import to_arrow
-import pyarrow as pa
-import pyarrow.dataset as ds
-
-from .pydantic import LanceModel
-
-
-@dataclass
-class Scannable:
-    schema: pa.Schema
-    num_rows: Optional[int]
-    # Factory function to create a new reader each time (supports re-scanning)
-    reader: Callable[[], pa.RecordBatchReader]
-    # Whether reader can be called more than once. For example, an iterator can
-    # only be consumed once, while a DataFrame can be converted to a new reader
-    # each time.
-    rescannable: bool = True
-
-
-@singledispatch
-def to_scannable(data) -> Scannable:
-    # Fallback: try iterable protocol
-    if hasattr(data, "__iter__"):
-        return _from_iterable(iter(data))
-    raise NotImplementedError(f"to_scannable not implemented for type {type(data)}")
-
-
-@to_scannable.register(pa.RecordBatchReader)
-def _from_reader(data: pa.RecordBatchReader) -> Scannable:
-    # RecordBatchReader can only be consumed once - not rescannable
-    return Scannable(
-        schema=data.schema, num_rows=None, reader=lambda: data, rescannable=False
-    )
-
-
-@to_scannable.register(pa.RecordBatch)
-def _from_batch(data: pa.RecordBatch) -> Scannable:
-    return Scannable(
-        schema=data.schema,
-        num_rows=data.num_rows,
-        reader=lambda: pa.RecordBatchReader.from_batches(data.schema, [data]),
-    )
-
-
-@to_scannable.register(pa.Table)
-def _from_table(data: pa.Table) -> Scannable:
-    return Scannable(schema=data.schema, num_rows=data.num_rows, reader=data.to_reader)
-
-
-@to_scannable.register(ds.Dataset)
-def _from_dataset(data: ds.Dataset) -> Scannable:
-    return Scannable(
-        schema=data.schema,
-        num_rows=data.count_rows(),
-        reader=lambda: data.scanner().to_reader(),
-    )
-
-
-@to_scannable.register(ds.Scanner)
-def _from_scanner(data: ds.Scanner) -> Scannable:
-    # Scanner can only be consumed once - not rescannable
-    return Scannable(
-        schema=data.projected_schema,
-        num_rows=None,
-        reader=data.to_reader,
-        rescannable=False,
-    )
-
-
-@to_scannable.register(list)
-def _from_list(data: list) -> Scannable:
-    if not data:
-        raise ValueError("Cannot create table from empty list without a schema")
-    table = to_arrow(data)
-    return Scannable(
-        schema=table.schema, num_rows=table.num_rows, reader=table.to_reader
-    )
-
-
-@to_scannable.register(dict)
-def _from_dict(data: dict) -> Scannable:
-    raise ValueError("Cannot add a single dictionary to a table. Use a list.")
-
-
-@to_scannable.register(LanceModel)
-def _from_lance_model(data: LanceModel) -> Scannable:
-    raise ValueError("Cannot add a single LanceModel to a table. Use a list.")
-
-
-def _from_iterable(data: Iterator) -> Scannable:
-    first_item = next(data, None)
-    if first_item is None:
-        raise ValueError("Cannot create table from empty iterator")
-    first = to_arrow(first_item)
-    schema = first.schema
-
-    def iter():
-        yield from first.to_batches()
-        for item in data:
-            batch = to_arrow(item)
-            if batch.schema != schema:
-                try:
-                    batch = batch.cast(schema)
-                except pa.lib.ArrowInvalid:
-                    raise ValueError(
-                        f"Input iterator yielded a batch with schema that "
-                        f"does not match the schema of other batches.\n"
-                        f"Expected:\n{schema}\nGot:\n{batch.schema}"
-                    )
-            yield from batch.to_batches()
-
-    reader = pa.RecordBatchReader.from_batches(schema, iter())
-    return to_scannable(reader)
-
-
-_registered_modules: set[str] = set()
-
-
-def _register_optional_converters():
-    """Register converters for optional dependencies that are already imported."""
-
-    if "pandas" in sys.modules and "pandas" not in _registered_modules:
-        _registered_modules.add("pandas")
-        import pandas as pd
-
-        @to_arrow.register(pd.DataFrame)
-        def _arrow_from_pandas(data: pd.DataFrame) -> pa.Table:
-            table = pa.Table.from_pandas(data, preserve_index=False)
-            return table.replace_schema_metadata(None)
-
-        @to_scannable.register(pd.DataFrame)
-        def _from_pandas(data: pd.DataFrame) -> Scannable:
-            return to_scannable(_arrow_from_pandas(data))
-
-    if "polars" in sys.modules and "polars" not in _registered_modules:
-        _registered_modules.add("polars")
-        import polars as pl
-
-        @to_arrow.register(pl.DataFrame)
-        def _arrow_from_polars(data: pl.DataFrame) -> pa.Table:
-            return data.to_arrow()
-
-        @to_scannable.register(pl.DataFrame)
-        def _from_polars(data: pl.DataFrame) -> Scannable:
-            arrow = data.to_arrow()
-            return Scannable(
-                schema=arrow.schema, num_rows=len(data), reader=arrow.to_reader
-            )
-
-        @to_scannable.register(pl.LazyFrame)
-        def _from_polars_lazy(data: pl.LazyFrame) -> Scannable:
-            arrow = data.collect().to_arrow()
-            return Scannable(
-                schema=arrow.schema, num_rows=arrow.num_rows, reader=arrow.to_reader
-            )
-
-    if "datasets" in sys.modules and "datasets" not in _registered_modules:
-        _registered_modules.add("datasets")
-        from datasets import Dataset as HFDataset
-        from datasets import DatasetDict as HFDatasetDict
-
-        @to_scannable.register(HFDataset)
-        def _from_hf_dataset(data: HFDataset) -> Scannable:
-            table = data.data.table  # Access underlying Arrow table
-            return Scannable(
-                schema=table.schema, num_rows=len(data), reader=table.to_reader
-            )
-
-        @to_scannable.register(HFDatasetDict)
-        def _from_hf_dataset_dict(data: HFDatasetDict) -> Scannable:
-            # HuggingFace DatasetDict: combine all splits with a 'split' column
-            schema = data[list(data.keys())[0]].features.arrow_schema
-            if "split" not in schema.names:
-                schema = schema.append(pa.field("split", pa.string()))
-
-            def gen():
-                for split_name, dataset in data.items():
-                    for batch in dataset.data.to_batches():
-                        split_arr = pa.array(
-                            [split_name] * len(batch), type=pa.string()
-                        )
-                        yield pa.RecordBatch.from_arrays(
-                            list(batch.columns) + [split_arr], schema=schema
-                        )
-
-            total_rows = sum(len(dataset) for dataset in data.values())
-            return Scannable(
-                schema=schema,
-                num_rows=total_rows,
-                reader=lambda: pa.RecordBatchReader.from_batches(schema, gen()),
-            )
-
-    if "lance" in sys.modules and "lance" not in _registered_modules:
-        _registered_modules.add("lance")
-        import lance
-
-        @to_scannable.register(lance.LanceDataset)
-        def _from_lance(data: lance.LanceDataset) -> Scannable:
-            return Scannable(
-                schema=data.schema,
-                num_rows=data.count_rows(),
-                reader=lambda: data.scanner().to_reader(),
-            )
-
-
-# Register on module load
-_register_optional_converters()
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -25,8 +25,6 @@ from typing import (
 )
 from urllib.parse import urlparse

-from lancedb.scannable import _register_optional_converters, to_scannable
-
 from . import __version__
 from lancedb.arrow import peek_reader
 from lancedb.background_loop import LOOP
@@ -906,9 +904,7 @@ class Table(ABC):
        ----------
        field_names: str or list of str
            The name(s) of the field to index.
-            If ``use_tantivy`` is False (default), only a single field name
-            (str) is supported. To index multiple fields, create a separate
-            FTS index for each field.
+            can be only str if use_tantivy=True for now.
        replace: bool, default False
            If True, replace the existing index if it exists. Note that this is
            not yet an atomic operation; the index will be temporarily
@@ -2226,37 +2222,6 @@ class LanceTable(Table):
    def uri(self) -> str:
        return LOOP.run(self._table.uri())

-    def initial_storage_options(self) -> Optional[Dict[str, str]]:
-        """Get the initial storage options that were passed in when opening this table.
-
-        For dynamically refreshed options (e.g., credential vending), use
-        :meth:`latest_storage_options`.
-
-        Warning: This is an internal API and the return value is subject to change.
-
-        Returns
-        -------
-        Optional[Dict[str, str]]
-            The storage options, or None if no storage options were configured.
-        """
-        return LOOP.run(self._table.initial_storage_options())
-
-    def latest_storage_options(self) -> Optional[Dict[str, str]]:
-        """Get the latest storage options, refreshing from provider if configured.
-
-        This method is useful for credential vending scenarios where storage options
-        may be refreshed dynamically. If no dynamic provider is configured, this
-        returns the initial static options.
-
-        Warning: This is an internal API and the return value is subject to change.
-
-        Returns
-        -------
-        Optional[Dict[str, str]]
-            The storage options, or None if no storage options were configured.
-        """
-        return LOOP.run(self._table.latest_storage_options())
-
    def create_scalar_index(
        self,
        column: str,
@@ -2302,11 +2267,7 @@ class LanceTable(Table):
    ):
        if not use_tantivy:
            if not isinstance(field_names, str):
-                raise ValueError(
-                    "Native FTS indexes can only be created on a single field "
-                    "at a time. To search over multiple text fields, create a "
-                    "separate FTS index for each field."
-                )
+                raise ValueError("field_names must be a string when use_tantivy=False")

            if tokenizer_name is None:
                tokenizer_configs = {
@@ -3663,37 +3624,6 @@ class AsyncTable:
        """
        return await self._inner.uri()

-    async def initial_storage_options(self) -> Optional[Dict[str, str]]:
-        """Get the initial storage options that were passed in when opening this table.
-
-        For dynamically refreshed options (e.g., credential vending), use
-        :meth:`latest_storage_options`.
-
-        Warning: This is an internal API and the return value is subject to change.
-
-        Returns
-        -------
-        Optional[Dict[str, str]]
-            The storage options, or None if no storage options were configured.
-        """
-        return await self._inner.initial_storage_options()
-
-    async def latest_storage_options(self) -> Optional[Dict[str, str]]:
-        """Get the latest storage options, refreshing from provider if configured.
-
-        This method is useful for credential vending scenarios where storage options
-        may be refreshed dynamically. If no dynamic provider is configured, this
-        returns the initial static options.
-
-        Warning: This is an internal API and the return value is subject to change.
-
-        Returns
-        -------
-        Optional[Dict[str, str]]
-            The storage options, or None if no storage options were configured.
-        """
-        return await self._inner.latest_storage_options()
-
    async def add(
        self,
        data: DATA,
@@ -3729,31 +3659,18 @@ class AsyncTable:
            on_bad_vectors = "error"
        if fill_value is None:
            fill_value = 0.0
+        data = _sanitize_data(
+            data,
+            schema,
+            metadata=schema.metadata,
+            on_bad_vectors=on_bad_vectors,
+            fill_value=fill_value,
+            allow_subschema=True,
+        )
+        if isinstance(data, pa.Table):
+            data = data.to_reader()

-        # _santitize_data is an old code path, but we will use it until the
-        # new code path is ready.
-        if on_bad_vectors != "error" or (
-            schema.metadata is not None and b"embedding_functions" in schema.metadata
-        ):
-            data = _sanitize_data(
-                data,
-                schema,
-                metadata=schema.metadata,
-                on_bad_vectors=on_bad_vectors,
-                fill_value=fill_value,
-                allow_subschema=True,
-            )
-        _register_optional_converters()
-        data = to_scannable(data)
-        try:
-            return await self._inner.add(data, mode or "append")
-        except RuntimeError as e:
-            if "Cast error" in str(e):
-                raise ValueError(e)
-            elif "Vector column contains NaN" in str(e):
-                raise ValueError(e)
-            else:
-                raise
+        return await self._inner.add(data, mode or "append")

    def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
        """
--- a/python/python/lancedb/util.py
+++ b/python/python/lancedb/util.py
@@ -419,22 +419,3 @@ def batch_to_tensor(batch: pa.RecordBatch):
    """
    torch = attempt_import_or_raise("torch", "torch")
    return torch.stack([torch.from_dlpack(col) for col in batch.columns])
-
-
-def batch_to_tensor_rows(batch: pa.RecordBatch):
-    """
-    Convert a PyArrow RecordBatch to a list of PyTorch Tensor, one per row
-
-    Each column is converted to a tensor (using zero-copy via DLPack)
-    and the columns are then stacked into a single tensor.  The 2D tensor
-    is then converted to a list of tensors, one per row
-
-    Fails if torch or numpy is not installed.
-    Fails if a column's data type is not supported by PyTorch.
-    """
-    torch = attempt_import_or_raise("torch", "torch")
-    numpy = attempt_import_or_raise("numpy", "numpy")
-    columns = [col.to_numpy(zero_copy_only=False) for col in batch.columns]
-    stacked = torch.tensor(numpy.column_stack(columns))
-    rows = list(stacked.unbind(dim=0))
-    return rows
--- a/python/python/tests/test_embeddings.py
+++ b/python/python/tests/test_embeddings.py
@@ -515,34 +515,3 @@ def test_openai_propagates_api_key(monkeypatch):
    query = "greetings"
    actual = table.search(query).limit(1).to_pydantic(Words)[0]
    assert len(actual.text) > 0
-
-
-@patch("time.sleep")
-def test_openai_no_retry_on_401(mock_sleep):
-    """
-    Test that OpenAI embedding function does not retry on 401 authentication
-    errors.
-    """
-    from lancedb.embeddings.utils import retry_with_exponential_backoff
-
-    # Create a mock that raises an AuthenticationError
-    class MockAuthenticationError(Exception):
-        """Mock OpenAI AuthenticationError"""
-
-        pass
-
-    MockAuthenticationError.__name__ = "AuthenticationError"
-
-    mock_func = MagicMock(side_effect=MockAuthenticationError("Invalid API key"))
-
-    # Wrap the function with retry logic
-    wrapped_func = retry_with_exponential_backoff(mock_func, max_retries=3)
-
-    # Should raise without retrying
-    with pytest.raises(MockAuthenticationError):
-        wrapped_func()
-
-    # Verify that the function was only called once (no retries)
-    assert mock_func.call_count == 1
-    # Verify that sleep was never called (no retries)
-    assert mock_sleep.call_count == 0
--- a/python/python/tests/test_fts.py
+++ b/python/python/tests/test_fts.py
@@ -882,105 +882,3 @@ def test_fts_query_to_json():
        '"must_not":[]}}'
    )
    assert json_str == expected
-
-
-def test_fts_fast_search(table):
-    table.create_fts_index("text", use_tantivy=False)
-
-    # Insert some unindexed data
-    table.add(
-        [
-            {
-                "text": "xyz",
-                "vector": [0 for _ in range(128)],
-                "id": 101,
-                "text2": "xyz",
-                "nested": {"text": "xyz"},
-                "count": 10,
-            }
-        ]
-    )
-
-    # Without fast_search, the query object should not have fast_search set
-    builder = table.search("xyz", query_type="fts").limit(10)
-    query = builder.to_query_object()
-    assert query.fast_search is None
-
-    # With fast_search, the query object should have fast_search=True
-    builder = table.search("xyz", query_type="fts").fast_search().limit(10)
-    query = builder.to_query_object()
-    assert query.fast_search is True
-
-    # fast_search should be chainable with other methods
-    builder = (
-        table.search("xyz", query_type="fts").fast_search().select(["text"]).limit(5)
-    )
-    query = builder.to_query_object()
-    assert query.fast_search is True
-    assert query.limit == 5
-    assert query.columns == ["text"]
-
-    # Verify it executes without error and skips unindexed data
-    results = table.search("xyz", query_type="fts").fast_search().limit(5).to_list()
-    assert len(results) == 0
-
-    # Update index and verify it returns results
-    table.optimize()
-    results = table.search("xyz", query_type="fts").fast_search().limit(5).to_list()
-    assert len(results) > 0
-
-
-@pytest.mark.asyncio
-async def test_fts_fast_search_async(async_table):
-    await async_table.create_index("text", config=FTS())
-
-    # Insert some unindexed data
-    await async_table.add(
-        [
-            {
-                "text": "xyz",
-                "vector": [0 for _ in range(128)],
-                "id": 101,
-                "text2": "xyz",
-                "nested": {"text": "xyz"},
-                "count": 10,
-            }
-        ]
-    )
-
-    # Without fast_search, should return results
-    results = await async_table.query().nearest_to_text("xyz").limit(5).to_list()
-    assert len(results) > 0
-
-    # With fast_search, should return no results data unindexed
-    fast_results = (
-        await async_table.query()
-        .nearest_to_text("xyz")
-        .fast_search()
-        .limit(5)
-        .to_list()
-    )
-    assert len(fast_results) == 0
-
-    # Update index and verify it returns results
-    await async_table.optimize()
-
-    fast_results = (
-        await async_table.query()
-        .nearest_to_text("xyz")
-        .fast_search()
-        .limit(5)
-        .to_list()
-    )
-    assert len(fast_results) > 0
-
-    # fast_search should be chainable with other methods
-    results = (
-        await async_table.query()
-        .nearest_to_text("xyz")
-        .fast_search()
-        .select(["text"])
-        .limit(5)
-        .to_list()
-    )
-    assert len(results) > 0
--- a/python/python/tests/test_hybrid_query.py
+++ b/python/python/tests/test_hybrid_query.py
@@ -163,7 +163,9 @@ async def test_explain_plan(table: AsyncTable):
        table.query().nearest_to_text("dog").nearest_to([0.1, 0.1]).explain_plan(True)
    )

+    assert "Vector Search Plan" in plan
    assert "KNNVectorDistance" in plan
+    assert "FTS Search Plan" in plan
    assert "LanceRead" in plan


--- a/python/python/tests/test_permutation.py
+++ b/python/python/tests/test_permutation.py
@@ -664,20 +664,23 @@ def test_iter_basic(some_permutation: Permutation):
    expected_batches = (950 + batch_size - 1) // batch_size  # ceiling division
    assert len(batches) == expected_batches

-    # Check that all batches are lists of dicts (default python format)
-    assert all(isinstance(batch, list) for batch in batches)
+    # Check that all batches are dicts (default python format)
+    assert all(isinstance(batch, dict) for batch in batches)

    # Check that batches have the correct structure
    for batch in batches:
-        assert "id" in batch[0]
-        assert "value" in batch[0]
+        assert "id" in batch
+        assert "value" in batch
+        assert isinstance(batch["id"], list)
+        assert isinstance(batch["value"], list)

    # Check that all batches except the last have the correct size
    for batch in batches[:-1]:
-        assert len(batch) == batch_size
+        assert len(batch["id"]) == batch_size
+        assert len(batch["value"]) == batch_size

    # Last batch might be smaller
-    assert len(batches[-1]) <= batch_size
+    assert len(batches[-1]["id"]) <= batch_size


 def test_iter_skip_last_batch(some_permutation: Permutation):
@@ -696,11 +699,11 @@ def test_iter_skip_last_batch(some_permutation: Permutation):
    if 950 % batch_size != 0:
        assert len(batches_without_skip) == num_full_batches + 1
        # Last batch should be smaller
-        assert len(batches_without_skip[-1]) == 950 % batch_size
+        assert len(batches_without_skip[-1]["id"]) == 950 % batch_size

    # All batches with skip_last_batch should be full size
    for batch in batches_with_skip:
-        assert len(batch) == batch_size
+        assert len(batch["id"]) == batch_size


 def test_iter_different_batch_sizes(some_permutation: Permutation):
@@ -717,12 +720,12 @@ def test_iter_different_batch_sizes(some_permutation: Permutation):
    # Test with batch size equal to total rows
    single_batch = list(some_permutation.iter(950, skip_last_batch=False))
    assert len(single_batch) == 1
-    assert len(single_batch[0]) == 950
+    assert len(single_batch[0]["id"]) == 950

    # Test with batch size larger than total rows
    oversized_batch = list(some_permutation.iter(10000, skip_last_batch=False))
    assert len(oversized_batch) == 1
-    assert len(oversized_batch[0]) == 950
+    assert len(oversized_batch[0]["id"]) == 950


 def test_dunder_iter(some_permutation: Permutation):
@@ -735,13 +738,15 @@ def test_dunder_iter(some_permutation: Permutation):

    # All batches should be full size
    for batch in batches:
-        assert len(batch) == 100
+        assert len(batch["id"]) == 100
+        assert len(batch["value"]) == 100

    some_permutation = some_permutation.with_batch_size(400)
    batches = list(some_permutation)
    assert len(batches) == 2  # floor(950 / 400) since skip_last_batch=True
    for batch in batches:
-        assert len(batch) == 400
+        assert len(batch["id"]) == 400
+        assert len(batch["value"]) == 400


 def test_iter_with_different_formats(some_permutation: Permutation):
@@ -756,7 +761,7 @@ def test_iter_with_different_formats(some_permutation: Permutation):
    # Test with python format (default)
    python_perm = some_permutation.with_format("python")
    python_batches = list(python_perm.iter(batch_size, skip_last_batch=False))
-    assert all(isinstance(batch, list) for batch in python_batches)
+    assert all(isinstance(batch, dict) for batch in python_batches)

    # Test with pandas format
    pandas_perm = some_permutation.with_format("pandas")
@@ -775,8 +780,8 @@ def test_iter_with_column_selection(some_permutation: Permutation):

    # Check that batches only contain the id column
    for batch in batches:
-        assert "id" in batch[0]
-        assert "value" not in batch[0]
+        assert "id" in batch
+        assert "value" not in batch


 def test_iter_with_column_rename(some_permutation: Permutation):
@@ -786,9 +791,9 @@ def test_iter_with_column_rename(some_permutation: Permutation):

    # Check that batches have the renamed column
    for batch in batches:
-        assert "id" in batch[0]
-        assert "data" in batch[0]
-        assert "value" not in batch[0]
+        assert "id" in batch
+        assert "data" in batch
+        assert "value" not in batch


 def test_iter_with_limit_offset(some_permutation: Permutation):
@@ -807,14 +812,14 @@ def test_iter_with_limit_offset(some_permutation: Permutation):
    assert len(limit_batches) == 5

    no_skip = some_permutation.iter(101, skip_last_batch=False)
-    row_100 = next(no_skip)[100]["id"]
+    row_100 = next(no_skip)["id"][100]

    # Test with both limit and offset
    limited_perm = some_permutation.with_skip(100).with_take(300)
    limited_batches = list(limited_perm.iter(100, skip_last_batch=False))
    # Should have 3 batches (300 / 100)
    assert len(limited_batches) == 3
-    assert limited_batches[0][0]["id"] == row_100
+    assert limited_batches[0]["id"][0] == row_100


 def test_iter_empty_permutation(mem_db):
@@ -837,7 +842,7 @@ def test_iter_single_row(mem_db):
    # With skip_last_batch=False, should get one batch
    batches = list(perm.iter(10, skip_last_batch=False))
    assert len(batches) == 1
-    assert len(batches[0]) == 1
+    assert len(batches[0]["id"]) == 1

    # With skip_last_batch=True, should skip the single row (since it's < batch_size)
    batches_skip = list(perm.iter(10, skip_last_batch=True))
@@ -855,7 +860,8 @@ def test_identity_permutation(mem_db):

    batches = list(permutation.iter(10, skip_last_batch=False))
    assert len(batches) == 1
-    assert len(batches[0]) == 10
+    assert len(batches[0]["id"]) == 10
+    assert len(batches[0]["value"]) == 10

    permutation = permutation.remove_columns(["value"])
    assert permutation.num_columns == 1
@@ -898,10 +904,10 @@ def test_transform_fn(mem_db):
    py_result = list(permutation.with_format("python").iter(10, skip_last_batch=False))[
        0
    ]
-    assert len(py_result) == 10
-    assert "id" in py_result[0]
-    assert "value" in py_result[0]
-    assert isinstance(py_result, list)
+    assert len(py_result) == 2
+    assert len(py_result["id"]) == 10
+    assert len(py_result["value"]) == 10
+    assert isinstance(py_result, dict)

    try:
        import torch
@@ -909,11 +915,9 @@ def test_transform_fn(mem_db):
        torch_result = list(
            permutation.with_format("torch").iter(10, skip_last_batch=False)
        )[0]
-        assert isinstance(torch_result, list)
-        assert len(torch_result) == 10
-        assert isinstance(torch_result[0], torch.Tensor)
-        assert torch_result[0].shape == (2,)
-        assert torch_result[0].dtype == torch.int64
+        assert torch_result.shape == (2, 10)
+        assert torch_result.dtype == torch.int64
+        assert isinstance(torch_result, torch.Tensor)
    except ImportError:
        # Skip check if torch is not installed
        pass
@@ -941,113 +945,3 @@ def test_custom_transform(mem_db):
    batch = batches[0]

    assert batch == pa.record_batch([range(10)], ["id"])
-
-
-def test_getitems_basic(some_permutation: Permutation):
-    """Test __getitems__ returns correct rows by offset."""
-    result = some_permutation.__getitems__([0, 1, 2])
-    assert isinstance(result, list)
-    assert "id" in result[0]
-    assert "value" in result[0]
-    assert len(result) == 3
-
-
-def test_getitems_single_index(some_permutation: Permutation):
-    """Test __getitems__ with a single index."""
-    result = some_permutation.__getitems__([0])
-    assert len(result) == 1
-
-
-def test_getitems_preserves_order(some_permutation: Permutation):
-    """Test __getitems__ returns rows in the requested order."""
-    # Get rows in forward order
-    forward = some_permutation.__getitems__([0, 1, 2, 3, 4])
-    # Get the same rows in reverse order
-    reverse = some_permutation.__getitems__([4, 3, 2, 1, 0])
-
-    assert [r["id"] for r in forward] == list(reversed([r["id"] for r in reverse]))
-    assert [r["value"] for r in forward] == list(
-        reversed([r["value"] for r in reverse])
-    )
-
-
-def test_getitems_non_contiguous(some_permutation: Permutation):
-    """Test __getitems__ with non-contiguous indices."""
-    result = some_permutation.__getitems__([0, 10, 50, 100, 500])
-    assert len(result) == 5
-
-    # Each id/value pair should match what we'd get individually
-    for i, offset in enumerate([0, 10, 50, 100, 500]):
-        single = some_permutation.__getitems__([offset])
-        assert result[i]["id"] == single[0]["id"]
-        assert result[i]["value"] == single[0]["value"]
-
-
-def test_getitems_with_column_selection(some_permutation: Permutation):
-    """Test __getitems__ respects column selection."""
-    id_only = some_permutation.select_columns(["id"])
-    result = id_only.__getitems__([0, 1, 2])
-    assert "id" in result[0]
-    assert "value" not in result[0]
-    assert len(result) == 3
-
-
-def test_getitems_with_column_rename(some_permutation: Permutation):
-    """Test __getitems__ respects column renames."""
-    renamed = some_permutation.rename_column("value", "data")
-    result = renamed.__getitems__([0, 1])
-    assert "data" in result[0]
-    assert "value" not in result[0]
-    assert len(result) == 2
-
-
-def test_getitems_with_format(some_permutation: Permutation):
-    """Test __getitems__ applies the transform function."""
-    arrow_perm = some_permutation.with_format("arrow")
-    result = arrow_perm.__getitems__([0, 1, 2])
-    assert isinstance(result, pa.RecordBatch)
-    assert result.num_rows == 3
-
-
-def test_getitems_with_custom_transform(some_permutation: Permutation):
-    """Test __getitems__ with a custom transform."""
-
-    def transform(batch: pa.RecordBatch) -> list:
-        return batch.column("id").to_pylist()
-
-    custom = some_permutation.with_transform(transform)
-    result = custom.__getitems__([0, 1, 2])
-    assert isinstance(result, list)
-    assert len(result) == 3
-
-
-def test_getitems_identity_permutation(mem_db):
-    """Test __getitems__ on an identity permutation."""
-    tbl = mem_db.create_table(
-        "test_table", pa.table({"id": range(10), "value": range(10)})
-    )
-    perm = Permutation.identity(tbl)
-
-    result = perm.__getitems__([0, 5, 9])
-    assert [r["id"] for r in result] == [0, 5, 9]
-    assert [r["value"] for r in result] == [0, 5, 9]
-
-
-def test_getitems_with_limit_offset(some_permutation: Permutation):
-    """Test __getitems__ on a permutation with skip/take applied."""
-    limited = some_permutation.with_skip(100).with_take(200)
-
-    # Should be able to access offsets within the limited range
-    result = limited.__getitems__([0, 1, 199])
-    assert len(result) == 3
-
-    # The first item of the limited permutation should match offset 100 of original
-    full_result = some_permutation.__getitems__([100])
-    limited_result = limited.__getitems__([0])
-    assert limited_result[0]["id"] == full_result[0]["id"]
-
-
-def test_getitems_invalid_offset(some_permutation: Permutation):
-    """Test __getitems__ with an out-of-range offset raises an error."""
-    with pytest.raises(Exception):
-        some_permutation.__getitems__([999999])
--- a/python/python/tests/test_rerankers.py
+++ b/python/python/tests/test_rerankers.py
@@ -531,78 +531,6 @@ def test_empty_result_reranker():
        )


-def test_empty_hybrid_result_reranker():
-    """Test that hybrid search with empty results after filtering doesn't crash.
-
-    Regression test for https://github.com/lancedb/lancedb/issues/2425
-    """
-    from lancedb.query import LanceHybridQueryBuilder
-
-    # Simulate empty vector and FTS results with the expected schema
-    vector_schema = pa.schema(
-        [
-            ("text", pa.string()),
-            ("vector", pa.list_(pa.float32(), 4)),
-            ("_rowid", pa.uint64()),
-            ("_distance", pa.float32()),
-        ]
-    )
-    fts_schema = pa.schema(
-        [
-            ("text", pa.string()),
-            ("vector", pa.list_(pa.float32(), 4)),
-            ("_rowid", pa.uint64()),
-            ("_score", pa.float32()),
-        ]
-    )
-    empty_vector = pa.table(
-        {
-            "text": pa.array([], type=pa.string()),
-            "vector": pa.array([], type=pa.list_(pa.float32(), 4)),
-            "_rowid": pa.array([], type=pa.uint64()),
-            "_distance": pa.array([], type=pa.float32()),
-        },
-        schema=vector_schema,
-    )
-    empty_fts = pa.table(
-        {
-            "text": pa.array([], type=pa.string()),
-            "vector": pa.array([], type=pa.list_(pa.float32(), 4)),
-            "_rowid": pa.array([], type=pa.uint64()),
-            "_score": pa.array([], type=pa.float32()),
-        },
-        schema=fts_schema,
-    )
-
-    for reranker in [LinearCombinationReranker(), RRFReranker()]:
-        result = LanceHybridQueryBuilder._combine_hybrid_results(
-            fts_results=empty_fts,
-            vector_results=empty_vector,
-            norm="score",
-            fts_query="nonexistent query",
-            reranker=reranker,
-            limit=10,
-            with_row_ids=False,
-        )
-        assert len(result) == 0
-        assert "_relevance_score" in result.column_names
-        assert "_rowid" not in result.column_names
-
-    # Also test with with_row_ids=True
-    result = LanceHybridQueryBuilder._combine_hybrid_results(
-        fts_results=empty_fts,
-        vector_results=empty_vector,
-        norm="score",
-        fts_query="nonexistent query",
-        reranker=LinearCombinationReranker(),
-        limit=10,
-        with_row_ids=True,
-    )
-    assert len(result) == 0
-    assert "_relevance_score" in result.column_names
-    assert "_rowid" in result.column_names
-
-
@pytest.mark.parametrize("use_tantivy", [True, False])
 def test_cross_encoder_reranker_return_all(tmp_path, use_tantivy):
    pytest.importorskip("sentence_transformers")
--- a/python/python/tests/test_table.py
+++ b/python/python/tests/test_table.py
@@ -810,7 +810,7 @@ def test_create_index_name_and_train_parameters(
    )


-def test_create_with_nans(mem_db: DBConnection):
+def test_add_with_nans(mem_db: DBConnection):
    # by default we raise an error on bad input vectors
    bad_data = [
        {"vector": [np.nan], "item": "bar", "price": 20.0},
@@ -854,57 +854,6 @@ def test_create_with_nans(mem_db: DBConnection):
    assert np.allclose(v, np.array([0.0, 0.0]))


-def test_add_with_nans(mem_db: DBConnection):
-    schema = pa.schema(
-        [
-            pa.field("vector", pa.list_(pa.float32(), 2), nullable=True),
-            pa.field("item", pa.string(), nullable=True),
-            pa.field("price", pa.float64(), nullable=False),
-        ],
-    )
-    table = mem_db.create_table("test", schema=schema)
-    # by default we raise an error on bad input vectors
-    bad_data = [
-        {"vector": [np.nan], "item": "bar", "price": 20.0},
-        {"vector": [5], "item": "bar", "price": 20.0},
-        {"vector": [np.nan, np.nan], "item": "bar", "price": 20.0},
-        {"vector": [np.nan, 5.0], "item": "bar", "price": 20.0},
-    ]
-    for row in bad_data:
-        with pytest.raises(ValueError):
-            table.add(
-                data=[row],
-            )
-
-    table.add(
-        [
-            {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
-            {"vector": [2.1, 4.1], "item": "foo", "price": 9.0},
-            {"vector": [np.nan], "item": "bar", "price": 20.0},
-            {"vector": [5], "item": "bar", "price": 20.0},
-            {"vector": [np.nan, np.nan], "item": "bar", "price": 20.0},
-        ],
-        on_bad_vectors="drop",
-    )
-    assert len(table) == 2
-    table.delete("true")
-
-    # We can fill bad input with some value
-    table.add(
-        data=[
-            {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
-            {"vector": [np.nan], "item": "bar", "price": 20.0},
-            {"vector": [np.nan, np.nan], "item": "bar", "price": 20.0},
-        ],
-        on_bad_vectors="fill",
-        fill_value=0.0,
-    )
-    assert len(table) == 3
-    arrow_tbl = table.search().where("item == 'bar'").to_arrow()
-    v = arrow_tbl["vector"].to_pylist()[0]
-    assert np.allclose(v, np.array([0.0, 0.0]))
-
-
 def test_restore(mem_db: DBConnection):
    table = mem_db.create_table(
        "my_table",
--- a/python/python/tests/test_torch.py
+++ b/python/python/tests/test_torch.py
@@ -4,7 +4,6 @@
 import pyarrow as pa
 import pytest
 from lancedb.util import tbl_to_tensor
-from lancedb.permutation import Permutation

 torch = pytest.importorskip("torch")

@@ -17,26 +16,3 @@ def test_table_dataloader(mem_db):
    for batch in dataloader:
        assert batch.size(0) == 1
        assert batch.size(1) == 10
-
-
-def test_permutation_dataloader(mem_db):
-    table = mem_db.create_table("test_table", pa.table({"a": range(1000)}))
-
-    permutation = Permutation.identity(table)
-    dataloader = torch.utils.data.DataLoader(permutation, batch_size=10, shuffle=True)
-    for batch in dataloader:
-        assert batch["a"].size(0) == 10
-
-    permutation = permutation.with_format("torch")
-    dataloader = torch.utils.data.DataLoader(permutation, batch_size=10, shuffle=True)
-    for batch in dataloader:
-        assert batch.size(0) == 10
-        assert batch.size(1) == 1
-
-    permutation = permutation.with_format("torch_col")
-    dataloader = torch.utils.data.DataLoader(
-        permutation, collate_fn=lambda x: x, batch_size=10, shuffle=True
-    )
-    for batch in dataloader:
-        assert batch.size(0) == 1
-        assert batch.size(1) == 10
--- a/python/python/tests/test_util.py
+++ b/python/python/tests/test_util.py
@@ -292,14 +292,18 @@ class TestModel(lancedb.pydantic.LanceModel):
        lambda: pa.table({"a": [1], "b": [2]}),
        lambda: pa.table({"a": [1], "b": [2]}).to_reader(),
        lambda: iter(pa.table({"a": [1], "b": [2]}).to_batches()),
-        lambda: lance.write_dataset(
-            pa.table({"a": [1], "b": [2]}),
-            "memory://test",
+        lambda: (
+            lance.write_dataset(
+                pa.table({"a": [1], "b": [2]}),
+                "memory://test",
+            )
+        ),
+        lambda: (
+            lance.write_dataset(
+                pa.table({"a": [1], "b": [2]}),
+                "memory://test",
+            ).scanner()
        ),
-        lambda: lance.write_dataset(
-            pa.table({"a": [1], "b": [2]}),
-            "memory://test",
-        ).scanner(),
        lambda: pd.DataFrame({"a": [1], "b": [2]}),
        lambda: pl.DataFrame({"a": [1], "b": [2]}),
        lambda: pl.LazyFrame({"a": [1], "b": [2]}),
--- a/python/src/connection.rs
+++ b/python/src/connection.rs
@@ -121,8 +121,7 @@ impl Connection {

        let mode = Self::parse_create_mode_str(mode)?;

-        let batches: Box<dyn arrow::array::RecordBatchReader + Send> =
-            Box::new(ArrowArrayStreamReader::from_pyarrow_bound(&data)?);
+        let batches = ArrowArrayStreamReader::from_pyarrow_bound(&data)?;

        let mut builder = inner.create_table(name, batches).mode(mode);

--- a/python/src/permutation.rs
+++ b/python/src/permutation.rs
@@ -6,7 +6,7 @@ use std::sync::{Arc, Mutex};
 use crate::{
    arrow::RecordBatchStream, connection::Connection, error::PythonErrorExt, table::Table,
 };
-use arrow::pyarrow::{PyArrowType, ToPyArrow};
+use arrow::pyarrow::ToPyArrow;
 use lancedb::{
    dataloader::permutation::{
        builder::{PermutationBuilder as LancePermutationBuilder, ShuffleStrategy},
@@ -23,25 +23,10 @@ use pyo3::{
 };
 use pyo3_async_runtimes::tokio::future_into_py;

-fn table_from_py<'a>(table: Bound<'a, PyAny>) -> PyResult<Bound<'a, Table>> {
-    if table.hasattr("_inner")? {
-        Ok(table.getattr("_inner")?.downcast_into::<Table>()?)
-    } else if table.hasattr("_table")? {
-        Ok(table
-            .getattr("_table")?
-            .getattr("_inner")?
-            .downcast_into::<Table>()?)
-    } else {
-        Err(PyRuntimeError::new_err(
-            "Provided table does not appear to be a Table or RemoteTable instance",
-        ))
-    }
-}
-
 /// Create a permutation builder for the given table
 #[pyo3::pyfunction]
 pub fn async_permutation_builder(table: Bound<'_, PyAny>) -> PyResult<PyAsyncPermutationBuilder> {
-    let table = table_from_py(table)?;
+    let table = table.getattr("_inner")?.downcast_into::<Table>()?;
    let inner_table = table.borrow().inner_ref()?.clone();
    let inner_builder = LancePermutationBuilder::new(inner_table);

@@ -265,8 +250,10 @@ impl PyPermutationReader {
        permutation_table: Option<Bound<'py, PyAny>>,
        split: u64,
    ) -> PyResult<Bound<'py, PyAny>> {
-        let base_table = table_from_py(base_table)?;
-        let permutation_table = permutation_table.map(table_from_py).transpose()?;
+        let base_table = base_table.getattr("_inner")?.downcast_into::<Table>()?;
+        let permutation_table = permutation_table
+            .map(|p| PyResult::Ok(p.getattr("_inner")?.downcast_into::<Table>()?))
+            .transpose()?;

        let base_table = base_table.borrow().inner_ref()?.base_table().clone();
        let permutation_table = permutation_table
@@ -341,21 +328,4 @@ impl PyPermutationReader {
            Ok(RecordBatchStream::new(stream))
        })
    }
-
-    #[pyo3(signature = (indices, *, selection=None))]
-    pub fn take_offsets<'py>(
-        slf: PyRef<'py, Self>,
-        indices: Vec<u64>,
-        selection: Option<Bound<'py, PyAny>>,
-    ) -> PyResult<Bound<'py, PyAny>> {
-        let selection = Self::parse_selection(selection)?;
-        let reader = slf.reader.clone();
-        future_into_py(slf.py(), async move {
-            let batch = reader
-                .take_offsets(&indices, selection)
-                .await
-                .infer_error()?;
-            Ok(PyArrowType(batch))
-        })
-    }
 }
--- a/python/src/table.rs
+++ b/python/src/table.rs
@@ -7,7 +7,6 @@ use crate::{
    error::PythonErrorExt,
    index::{extract_index_params, IndexConfig},
    query::{Query, TakeQuery},
-    table::scannable::PyScannable,
 };
 use arrow::{
    datatypes::{DataType, Schema},
@@ -26,8 +25,6 @@ use pyo3::{
 };
 use pyo3_async_runtimes::tokio::future_into_py;

-mod scannable;
-
 /// Statistics about a compaction operation.
 #[pyclass(get_all)]
 #[derive(Clone, Debug)]
@@ -296,10 +293,11 @@ impl Table {

    pub fn add<'a>(
        self_: PyRef<'a, Self>,
-        data: PyScannable,
+        data: Bound<'_, PyAny>,
        mode: String,
    ) -> PyResult<Bound<'a, PyAny>> {
-        let mut op = self_.inner_ref()?.add(data);
+        let batches = ArrowArrayStreamReader::from_pyarrow_bound(&data)?;
+        let mut op = self_.inner_ref()?.add(batches);
        if mode == "append" {
            op = op.mode(AddDataMode::Append);
        } else if mode == "overwrite" {
@@ -504,20 +502,6 @@ impl Table {
        future_into_py(self_.py(), async move { inner.uri().await.infer_error() })
    }

-    pub fn initial_storage_options(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner_ref()?.clone();
-        future_into_py(self_.py(), async move {
-            Ok(inner.initial_storage_options().await)
-        })
-    }
-
-    pub fn latest_storage_options(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner_ref()?.clone();
-        future_into_py(self_.py(), async move {
-            inner.latest_storage_options().await.infer_error()
-        })
-    }
-
    pub fn __repr__(&self) -> String {
        match &self.inner {
            None => format!("ClosedTable({})", self.name),
--- a/python/src/table/scannable.rs
+++ b/python/src/table/scannable.rs
@@ -1,145 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-use std::sync::Arc;
-
-use arrow::{
-    datatypes::{Schema, SchemaRef},
-    ffi_stream::ArrowArrayStreamReader,
-    pyarrow::{FromPyArrow, PyArrowType},
-};
-use futures::StreamExt;
-use lancedb::{
-    arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
-    data::scannable::Scannable,
-    Error,
-};
-use pyo3::{types::PyAnyMethods, FromPyObject, Py, PyAny, Python};
-
-/// Adapter that implements Scannable for a Python reader factory callable.
-///
-/// This holds a Python callable that returns a RecordBatchReader when called.
-/// For rescannable sources, the callable can be invoked multiple times to
-/// get fresh readers.
-pub struct PyScannable {
-    /// Python callable that returns a RecordBatchReader
-    reader_factory: Py<PyAny>,
-    schema: SchemaRef,
-    num_rows: Option<usize>,
-    rescannable: bool,
-}
-
-impl std::fmt::Debug for PyScannable {
-    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
-        f.debug_struct("PyScannable")
-            .field("schema", &self.schema)
-            .field("num_rows", &self.num_rows)
-            .field("rescannable", &self.rescannable)
-            .finish()
-    }
-}
-
-impl Scannable for PyScannable {
-    fn schema(&self) -> SchemaRef {
-        self.schema.clone()
-    }
-
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
-        let reader: Result<ArrowArrayStreamReader, Error> = {
-            Python::attach(|py| {
-                let result =
-                    self.reader_factory
-                        .call0(py)
-                        .map_err(|e| lancedb::Error::Runtime {
-                            message: format!("Python reader factory failed: {}", e),
-                        })?;
-                ArrowArrayStreamReader::from_pyarrow_bound(result.bind(py)).map_err(|e| {
-                    lancedb::Error::Runtime {
-                        message: format!("Failed to create Arrow reader from Python: {}", e),
-                    }
-                })
-            })
-        };
-
-        // Reader is blocking but stream is non-blocking, so we need to spawn a task to pull.
-        let (tx, rx) = tokio::sync::mpsc::channel(1);
-
-        let join_handle = tokio::task::spawn_blocking(move || {
-            let reader = match reader {
-                Ok(reader) => reader,
-                Err(e) => {
-                    let _ = tx.blocking_send(Err(e));
-                    return;
-                }
-            };
-            for batch in reader {
-                match batch {
-                    Ok(batch) => {
-                        if tx.blocking_send(Ok(batch)).is_err() {
-                            // Receiver dropped, stop processing
-                            break;
-                        }
-                    }
-                    Err(source) => {
-                        let _ = tx.blocking_send(Err(Error::Arrow { source }));
-                        break;
-                    }
-                }
-            }
-        });
-
-        let schema = self.schema.clone();
-        let stream = futures::stream::unfold(
-            (rx, Some(join_handle)),
-            |(mut rx, join_handle)| async move {
-                match rx.recv().await {
-                    Some(Ok(batch)) => Some((Ok(batch), (rx, join_handle))),
-                    Some(Err(e)) => Some((Err(e), (rx, join_handle))),
-                    None => {
-                        // Channel closed. Check if the task panicked — a panic
-                        // drops the sender without sending an error, so without
-                        // this check we'd silently return a truncated stream.
-                        if let Some(handle) = join_handle {
-                            if let Err(join_err) = handle.await {
-                                return Some((
-                                    Err(Error::Runtime {
-                                        message: format!("Reader task panicked: {}", join_err),
-                                    }),
-                                    (rx, None),
-                                ));
-                            }
-                        }
-                        None
-                    }
-                }
-            },
-        );
-        Box::pin(SimpleRecordBatchStream::new(stream.fuse(), schema))
-    }
-
-    fn num_rows(&self) -> Option<usize> {
-        self.num_rows
-    }
-
-    fn rescannable(&self) -> bool {
-        self.rescannable
-    }
-}
-
-impl<'py> FromPyObject<'py> for PyScannable {
-    fn extract_bound(ob: &pyo3::Bound<'py, PyAny>) -> pyo3::PyResult<Self> {
-        // Convert from Scannable dataclass.
-        let schema: PyArrowType<Schema> = ob.getattr("schema")?.extract()?;
-        let schema = Arc::new(schema.0);
-        let num_rows: Option<usize> = ob.getattr("num_rows")?.extract()?;
-        let rescannable: bool = ob.getattr("rescannable")?.extract()?;
-        let reader_factory: Py<PyAny> = ob.getattr("reader")?.unbind();
-
-        Ok(Self {
-            schema,
-            reader_factory,
-            num_rows,
-            rescannable,
-        })
-    }
-}
--- a/python/uv.lock
+++ b/python/uv.lock
--- a/rust-toolchain.toml
+++ b/rust-toolchain.toml
@@ -1,2 +1,2 @@
 [toolchain]
-channel = "1.91.0"
+channel = "1.90.0"
--- a/rust/lancedb/Cargo.toml
+++ b/rust/lancedb/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.27.0-beta.2"
+version = "0.25.0-beta.0"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
@@ -25,9 +25,7 @@ datafusion-catalog.workspace = true
 datafusion-common.workspace = true
 datafusion-execution.workspace = true
 datafusion-expr.workspace = true
-datafusion-functions.workspace = true
 datafusion-physical-expr.workspace = true
-datafusion-sql.workspace = true
 datafusion-physical-plan.workspace = true
 datafusion.workspace = true
 object_store = { workspace = true }
@@ -53,7 +51,7 @@ pin-project = { workspace = true }
 tokio = { version = "1.23", features = ["rt-multi-thread"] }
 log.workspace = true
 async-trait = "0"
-bytes = "1"
+bytes = "1.11.1"
 futures.workspace = true
 num-traits.workspace = true
 url.workspace = true
--- a/rust/lancedb/examples/bedrock.rs
+++ b/rust/lancedb/examples/bedrock.rs
@@ -3,12 +3,13 @@

 use std::{iter::once, sync::Arc};

-use arrow_array::{Float64Array, Int32Array, RecordBatch, StringArray};
+use arrow_array::{Float64Array, Int32Array, RecordBatch, RecordBatchIterator, StringArray};
 use arrow_schema::{DataType, Field, Schema};
 use aws_config::Region;
 use aws_sdk_bedrockruntime::Client;
 use futures::StreamExt;
 use lancedb::{
+    arrow::IntoArrow,
    connect,
    embeddings::{bedrock::BedrockEmbeddingFunction, EmbeddingDefinition, EmbeddingFunction},
    query::{ExecutableQuery, QueryBase},
@@ -66,7 +67,7 @@ async fn main() -> Result<()> {
    Ok(())
 }

-fn make_data() -> RecordBatch {
+fn make_data() -> impl IntoArrow {
    let schema = Schema::new(vec![
        Field::new("id", DataType::Int32, true),
        Field::new("text", DataType::Utf8, false),
@@ -82,9 +83,10 @@ fn make_data() -> RecordBatch {
    ]);
    let price = Float64Array::from(vec![10.0, 50.0, 100.0, 30.0]);
    let schema = Arc::new(schema);
-    RecordBatch::try_new(
+    let rb = RecordBatch::try_new(
        schema.clone(),
        vec![Arc::new(id), Arc::new(text), Arc::new(price)],
    )
-    .unwrap()
+    .unwrap();
+    Box::new(RecordBatchIterator::new(vec![Ok(rb)], schema))
 }
--- a/rust/lancedb/examples/full_text_search.rs
+++ b/rust/lancedb/examples/full_text_search.rs
@@ -3,13 +3,12 @@

 use std::sync::Arc;

-use arrow_array::{Int32Array, RecordBatch, RecordBatchIterator, StringArray};
+use arrow_array::{Int32Array, RecordBatch, RecordBatchIterator, RecordBatchReader, StringArray};
 use arrow_schema::{DataType, Field, Schema};

 use futures::TryStreamExt;
 use lance_index::scalar::FullTextSearchQuery;
 use lancedb::connection::Connection;
-
 use lancedb::index::scalar::FtsIndexBuilder;
 use lancedb::index::Index;
 use lancedb::query::{ExecutableQuery, QueryBase};
@@ -30,7 +29,7 @@ async fn main() -> Result<()> {
    Ok(())
 }

-fn create_some_records() -> Result<Box<dyn arrow_array::RecordBatchReader + Send>> {
+fn create_some_records() -> Result<Box<dyn RecordBatchReader + Send>> {
    const TOTAL: usize = 1000;

    let schema = Arc::new(Schema::new(vec![
@@ -67,7 +66,7 @@ fn create_some_records() -> Result<Box<dyn arrow_array::RecordBatchReader + Send
 }

 async fn create_table(db: &Connection) -> Result<Table> {
-    let initial_data = create_some_records()?;
+    let initial_data: Box<dyn RecordBatchReader + Send> = create_some_records()?;
    let tbl = db.create_table("my_table", initial_data).execute().await?;
    Ok(tbl)
 }
--- a/rust/lancedb/examples/hybrid_search.rs
+++ b/rust/lancedb/examples/hybrid_search.rs
@@ -1,13 +1,14 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-use arrow_array::{RecordBatch, StringArray};
+use arrow_array::{RecordBatch, RecordBatchIterator, StringArray};
 use arrow_schema::{DataType, Field, Schema};
 use futures::TryStreamExt;
 use lance_index::scalar::FullTextSearchQuery;
 use lancedb::index::scalar::FtsIndexBuilder;
 use lancedb::index::Index;
 use lancedb::{
+    arrow::IntoArrow,
    connect,
    embeddings::{
        sentence_transformers::SentenceTransformersEmbeddings, EmbeddingDefinition,
@@ -69,7 +70,7 @@ async fn main() -> Result<()> {
    Ok(())
 }

-fn make_data() -> RecordBatch {
+fn make_data() -> impl IntoArrow {
    let schema = Schema::new(vec![Field::new("facts", DataType::Utf8, false)]);

    let facts = StringArray::from_iter_values(vec![
@@ -100,7 +101,8 @@ fn make_data() -> RecordBatch {
        "The first chatbot was ELIZA, created in the 1960s.",
    ]);
    let schema = Arc::new(schema);
-    RecordBatch::try_new(schema.clone(), vec![Arc::new(facts)]).unwrap()
+    let rb = RecordBatch::try_new(schema.clone(), vec![Arc::new(facts)]).unwrap();
+    Box::new(RecordBatchIterator::new(vec![Ok(rb)], schema))
 }

 async fn create_index(table: &Table) -> Result<()> {
--- a/rust/lancedb/examples/ivf_pq.rs
+++ b/rust/lancedb/examples/ivf_pq.rs
@@ -8,12 +8,13 @@
 use std::sync::Arc;

 use arrow_array::types::Float32Type;
-use arrow_array::{FixedSizeListArray, Int32Array, RecordBatch, RecordBatchIterator};
+use arrow_array::{
+    FixedSizeListArray, Int32Array, RecordBatch, RecordBatchIterator, RecordBatchReader,
+};
 use arrow_schema::{DataType, Field, Schema};

 use futures::TryStreamExt;
 use lancedb::connection::Connection;
-
 use lancedb::index::vector::IvfPqIndexBuilder;
 use lancedb::index::Index;
 use lancedb::query::{ExecutableQuery, QueryBase};
@@ -33,7 +34,7 @@ async fn main() -> Result<()> {
    Ok(())
 }

-fn create_some_records() -> Result<Box<dyn arrow_array::RecordBatchReader + Send>> {
+fn create_some_records() -> Result<Box<dyn RecordBatchReader + Send>> {
    const TOTAL: usize = 1000;
    const DIM: usize = 128;

@@ -72,9 +73,9 @@ fn create_some_records() -> Result<Box<dyn arrow_array::RecordBatchReader + Send
 }

 async fn create_table(db: &Connection) -> Result<Table> {
-    let initial_data = create_some_records()?;
+    let initial_data: Box<dyn RecordBatchReader + Send> = create_some_records()?;
    let tbl = db
-        .create_table("my_table", initial_data)
+        .create_table("my_table", Box::new(initial_data))
        .execute()
        .await
        .unwrap();
--- a/rust/lancedb/examples/openai.rs
+++ b/rust/lancedb/examples/openai.rs
@@ -5,9 +5,11 @@

 use std::{iter::once, sync::Arc};

-use arrow_array::{RecordBatch, StringArray};
+use arrow_array::{Float64Array, Int32Array, RecordBatch, RecordBatchIterator, StringArray};
+use arrow_schema::{DataType, Field, Schema};
 use futures::StreamExt;
 use lancedb::{
+    arrow::IntoArrow,
    connect,
    embeddings::{openai::OpenAIEmbeddingFunction, EmbeddingDefinition, EmbeddingFunction},
    query::{ExecutableQuery, QueryBase},
@@ -62,20 +64,26 @@ async fn main() -> Result<()> {
 }
 // --8<-- [end:openai_embeddings]

-fn make_data() -> RecordBatch {
-    arrow_array::record_batch!(
-        ("id", Int32, [1, 2, 3, 4]),
-        (
-            "text",
-            Utf8,
-            [
-                "Black T-Shirt",
-                "Leather Jacket",
-                "Winter Parka",
-                "Hooded Sweatshirt"
-            ]
-        ),
-        ("price", Float64, [10.0, 50.0, 100.0, 30.0])
+fn make_data() -> impl IntoArrow {
+    let schema = Schema::new(vec![
+        Field::new("id", DataType::Int32, true),
+        Field::new("text", DataType::Utf8, false),
+        Field::new("price", DataType::Float64, false),
+    ]);
+
+    let id = Int32Array::from(vec![1, 2, 3, 4]);
+    let text = StringArray::from_iter_values(vec![
+        "Black T-Shirt",
+        "Leather Jacket",
+        "Winter Parka",
+        "Hooded Sweatshirt",
+    ]);
+    let price = Float64Array::from(vec![10.0, 50.0, 100.0, 30.0]);
+    let schema = Arc::new(schema);
+    let rb = RecordBatch::try_new(
+        schema.clone(),
+        vec![Arc::new(id), Arc::new(text), Arc::new(price)],
    )
-    .unwrap()
+    .unwrap();
+    Box::new(RecordBatchIterator::new(vec![Ok(rb)], schema))
 }
--- a/rust/lancedb/examples/sentence_transformers.rs
+++ b/rust/lancedb/examples/sentence_transformers.rs
@@ -3,10 +3,11 @@

 use std::{iter::once, sync::Arc};

-use arrow_array::{RecordBatch, StringArray};
+use arrow_array::{RecordBatch, RecordBatchIterator, StringArray};
 use arrow_schema::{DataType, Field, Schema};
 use futures::StreamExt;
 use lancedb::{
+    arrow::IntoArrow,
    connect,
    embeddings::{
        sentence_transformers::SentenceTransformersEmbeddings, EmbeddingDefinition,
@@ -58,7 +59,7 @@ async fn main() -> Result<()> {
    Ok(())
 }

-fn make_data() -> RecordBatch {
+fn make_data() -> impl IntoArrow {
    let schema = Schema::new(vec![Field::new("facts", DataType::Utf8, false)]);

    let facts = StringArray::from_iter_values(vec![
@@ -89,5 +90,6 @@ fn make_data() -> RecordBatch {
        "The first chatbot was ELIZA, created in the 1960s.",
    ]);
    let schema = Arc::new(schema);
-    RecordBatch::try_new(schema.clone(), vec![Arc::new(facts)]).unwrap()
+    let rb = RecordBatch::try_new(schema.clone(), vec![Arc::new(facts)]).unwrap();
+    Box::new(RecordBatchIterator::new(vec![Ok(rb)], schema))
 }
--- a/rust/lancedb/examples/simple.rs
+++ b/rust/lancedb/examples/simple.rs
@@ -8,9 +8,11 @@
 use std::sync::Arc;

 use arrow_array::types::Float32Type;
-use arrow_array::{FixedSizeListArray, Int32Array, RecordBatch};
+use arrow_array::{FixedSizeListArray, Int32Array, RecordBatch, RecordBatchIterator};
 use arrow_schema::{DataType, Field, Schema};
 use futures::TryStreamExt;
+
+use lancedb::arrow::IntoArrow;
 use lancedb::connection::Connection;
 use lancedb::index::Index;
 use lancedb::query::{ExecutableQuery, QueryBase};
@@ -57,7 +59,7 @@ async fn open_with_existing_tbl() -> Result<()> {
    Ok(())
 }

-fn create_some_records() -> Result<RecordBatch> {
+fn create_some_records() -> Result<impl IntoArrow> {
    const TOTAL: usize = 1000;
    const DIM: usize = 128;

@@ -74,18 +76,25 @@ fn create_some_records() -> Result<RecordBatch> {
    ]));

    // Create a RecordBatch stream.
-    Ok(RecordBatch::try_new(
-        schema.clone(),
-        vec![
-            Arc::new(Int32Array::from_iter_values(0..TOTAL as i32)),
-            Arc::new(
-                FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
-                    (0..TOTAL).map(|_| Some(vec![Some(1.0); DIM])),
-                    DIM as i32,
+    let batches = RecordBatchIterator::new(
+        vec![RecordBatch::try_new(
+            schema.clone(),
+            vec![
+                Arc::new(Int32Array::from_iter_values(0..TOTAL as i32)),
+                Arc::new(
+                    FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
+                        (0..TOTAL).map(|_| Some(vec![Some(1.0); DIM])),
+                        DIM as i32,
+                    ),
                ),
-            ),
-        ],
-    )?)
+            ],
+        )
+        .unwrap()]
+        .into_iter()
+        .map(Ok),
+        schema.clone(),
+    );
+    Ok(Box::new(batches))
 }

 async fn create_table(db: &Connection) -> Result<LanceDbTable> {
--- a/rust/lancedb/src/arrow.rs
+++ b/rust/lancedb/src/arrow.rs
@@ -155,7 +155,9 @@ impl IntoArrowStream for SendableRecordBatchStream {
 impl IntoArrowStream for datafusion_physical_plan::SendableRecordBatchStream {
    fn into_arrow(self) -> Result<SendableRecordBatchStream> {
        let schema = self.schema();
-        let stream = self.map_err(|df_err| df_err.into());
+        let stream = self.map_err(|df_err| Error::Runtime {
+            message: df_err.to_string(),
+        });
        Ok(Box::pin(SimpleRecordBatchStream::new(stream, schema)))
    }
 }
--- a/rust/lancedb/src/connection.rs
+++ b/rust/lancedb/src/connection.rs
@@ -6,8 +6,8 @@
 use std::collections::HashMap;
 use std::sync::Arc;

-use arrow_array::RecordBatch;
-use arrow_schema::SchemaRef;
+use arrow_array::RecordBatchReader;
+use arrow_schema::{Field, SchemaRef};
 use lance::dataset::ReadParams;
 use lance_namespace::models::{
    CreateNamespaceRequest, CreateNamespaceResponse, DescribeNamespaceRequest,
@@ -17,20 +17,24 @@ use lance_namespace::models::{
 #[cfg(feature = "aws")]
 use object_store::aws::AwsCredential;

-use crate::connection::create_table::CreateTableBuilder;
-use crate::data::scannable::Scannable;
-use crate::database::listing::ListingDatabase;
-use crate::database::{
-    CloneTableRequest, Database, DatabaseOptions, OpenTableRequest, ReadConsistency,
-    TableNamesRequest,
+use crate::arrow::{IntoArrow, IntoArrowStream, SendableRecordBatchStream};
+use crate::database::listing::{
+    ListingDatabase, OPT_NEW_TABLE_STORAGE_VERSION, OPT_NEW_TABLE_V2_MANIFEST_PATHS,
+};
+use crate::database::{
+    CloneTableRequest, CreateTableData, CreateTableMode, CreateTableRequest, Database,
+    DatabaseOptions, OpenTableRequest, ReadConsistency, TableNamesRequest,
+};
+use crate::embeddings::{
+    EmbeddingDefinition, EmbeddingFunction, EmbeddingRegistry, MemoryRegistry, WithEmbeddings,
 };
-use crate::embeddings::{EmbeddingRegistry, MemoryRegistry};
 use crate::error::{Error, Result};
 #[cfg(feature = "remote")]
 use crate::remote::{
    client::ClientConfig,
    db::{OPT_REMOTE_API_KEY, OPT_REMOTE_HOST_OVERRIDE, OPT_REMOTE_REGION},
 };
+use crate::table::{TableDefinition, WriteOptions};
 use crate::Table;
 use lance::io::ObjectStoreParams;
 pub use lance_encoding::version::LanceFileVersion;
@@ -38,8 +42,6 @@ pub use lance_encoding::version::LanceFileVersion;
 use lance_io::object_store::StorageOptions;
 use lance_io::object_store::{StorageOptionsAccessor, StorageOptionsProvider};

-mod create_table;
-
 fn merge_storage_options(
    store_params: &mut ObjectStoreParams,
    pairs: impl IntoIterator<Item = (String, String)>,
@@ -114,6 +116,337 @@ impl TableNamesBuilder {
    }
 }

+pub struct NoData {}
+
+impl IntoArrow for NoData {
+    fn into_arrow(self) -> Result<Box<dyn arrow_array::RecordBatchReader + Send>> {
+        unreachable!("NoData should never be converted to Arrow")
+    }
+}
+
+// Stores the value given from the initial CreateTableBuilder::new call
+// and defers errors until `execute` is called
+enum CreateTableBuilderInitialData {
+    None,
+    Iterator(Result<Box<dyn RecordBatchReader + Send>>),
+    Stream(Result<SendableRecordBatchStream>),
+}
+
+/// A builder for configuring a [`Connection::create_table`] operation
+pub struct CreateTableBuilder<const HAS_DATA: bool> {
+    parent: Arc<dyn Database>,
+    embeddings: Vec<(EmbeddingDefinition, Arc<dyn EmbeddingFunction>)>,
+    embedding_registry: Arc<dyn EmbeddingRegistry>,
+    request: CreateTableRequest,
+    // This is a bit clumsy but we defer errors until `execute` is called
+    // to maintain backwards compatibility
+    data: CreateTableBuilderInitialData,
+}
+
+// Builder methods that only apply when we have initial data
+impl CreateTableBuilder<true> {
+    fn new<T: IntoArrow>(
+        parent: Arc<dyn Database>,
+        name: String,
+        data: T,
+        embedding_registry: Arc<dyn EmbeddingRegistry>,
+    ) -> Self {
+        let dummy_schema = Arc::new(arrow_schema::Schema::new(Vec::<Field>::default()));
+        Self {
+            parent,
+            request: CreateTableRequest::new(
+                name,
+                CreateTableData::Empty(TableDefinition::new_from_schema(dummy_schema)),
+            ),
+            embeddings: Vec::new(),
+            embedding_registry,
+            data: CreateTableBuilderInitialData::Iterator(data.into_arrow()),
+        }
+    }
+
+    fn new_streaming<T: IntoArrowStream>(
+        parent: Arc<dyn Database>,
+        name: String,
+        data: T,
+        embedding_registry: Arc<dyn EmbeddingRegistry>,
+    ) -> Self {
+        let dummy_schema = Arc::new(arrow_schema::Schema::new(Vec::<Field>::default()));
+        Self {
+            parent,
+            request: CreateTableRequest::new(
+                name,
+                CreateTableData::Empty(TableDefinition::new_from_schema(dummy_schema)),
+            ),
+            embeddings: Vec::new(),
+            embedding_registry,
+            data: CreateTableBuilderInitialData::Stream(data.into_arrow()),
+        }
+    }
+
+    /// Execute the create table operation
+    pub async fn execute(self) -> Result<Table> {
+        let embedding_registry = self.embedding_registry.clone();
+        let parent = self.parent.clone();
+        let request = self.into_request()?;
+        Ok(Table::new_with_embedding_registry(
+            parent.create_table(request).await?,
+            parent,
+            embedding_registry,
+        ))
+    }
+
+    fn into_request(self) -> Result<CreateTableRequest> {
+        if self.embeddings.is_empty() {
+            match self.data {
+                CreateTableBuilderInitialData::Iterator(maybe_iter) => {
+                    let data = maybe_iter?;
+                    Ok(CreateTableRequest {
+                        data: CreateTableData::Data(data),
+                        ..self.request
+                    })
+                }
+                CreateTableBuilderInitialData::None => {
+                    unreachable!("No data provided for CreateTableBuilder<true>")
+                }
+                CreateTableBuilderInitialData::Stream(maybe_stream) => {
+                    let data = maybe_stream?;
+                    Ok(CreateTableRequest {
+                        data: CreateTableData::StreamingData(data),
+                        ..self.request
+                    })
+                }
+            }
+        } else {
+            let CreateTableBuilderInitialData::Iterator(maybe_iter) = self.data else {
+                return Err(Error::NotSupported { message: "Creating a table with embeddings is currently not support when the input is streaming".to_string() });
+            };
+            let data = maybe_iter?;
+            let data = Box::new(WithEmbeddings::new(data, self.embeddings));
+            Ok(CreateTableRequest {
+                data: CreateTableData::Data(data),
+                ..self.request
+            })
+        }
+    }
+}
+
+// Builder methods that only apply when we do not have initial data
+impl CreateTableBuilder<false> {
+    fn new(
+        parent: Arc<dyn Database>,
+        name: String,
+        schema: SchemaRef,
+        embedding_registry: Arc<dyn EmbeddingRegistry>,
+    ) -> Self {
+        let table_definition = TableDefinition::new_from_schema(schema);
+        Self {
+            parent,
+            request: CreateTableRequest::new(name, CreateTableData::Empty(table_definition)),
+            data: CreateTableBuilderInitialData::None,
+            embeddings: Vec::default(),
+            embedding_registry,
+        }
+    }
+
+    /// Execute the create table operation
+    pub async fn execute(self) -> Result<Table> {
+        let parent = self.parent.clone();
+        let embedding_registry = self.embedding_registry.clone();
+        let request = self.into_request()?;
+        Ok(Table::new_with_embedding_registry(
+            parent.create_table(request).await?,
+            parent,
+            embedding_registry,
+        ))
+    }
+
+    fn into_request(self) -> Result<CreateTableRequest> {
+        if self.embeddings.is_empty() {
+            return Ok(self.request);
+        }
+
+        let CreateTableData::Empty(table_def) = self.request.data else {
+            unreachable!("CreateTableBuilder<false> should always have Empty data")
+        };
+
+        let schema = table_def.schema.clone();
+        let empty_batch = arrow_array::RecordBatch::new_empty(schema.clone());
+
+        let reader = Box::new(std::iter::once(Ok(empty_batch)).collect::<Vec<_>>());
+        let reader = arrow_array::RecordBatchIterator::new(reader.into_iter(), schema);
+        let with_embeddings = WithEmbeddings::new(reader, self.embeddings);
+        let table_definition = with_embeddings.table_definition()?;
+
+        Ok(CreateTableRequest {
+            data: CreateTableData::Empty(table_definition),
+            ..self.request
+        })
+    }
+}
+
+impl<const HAS_DATA: bool> CreateTableBuilder<HAS_DATA> {
+    /// Set the mode for creating the table
+    ///
+    /// This controls what happens if a table with the given name already exists
+    pub fn mode(mut self, mode: CreateTableMode) -> Self {
+        self.request.mode = mode;
+        self
+    }
+
+    /// Apply the given write options when writing the initial data
+    pub fn write_options(mut self, write_options: WriteOptions) -> Self {
+        self.request.write_options = write_options;
+        self
+    }
+
+    /// Set an option for the storage layer.
+    ///
+    /// Options already set on the connection will be inherited by the table,
+    /// but can be overridden here.
+    ///
+    /// See available options at <https://lancedb.com/docs/storage/>
+    pub fn storage_option(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
+        let store_params = self
+            .request
+            .write_options
+            .lance_write_params
+            .get_or_insert(Default::default())
+            .store_params
+            .get_or_insert(Default::default());
+        merge_storage_options(store_params, [(key.into(), value.into())]);
+        self
+    }
+
+    /// Set multiple options for the storage layer.
+    ///
+    /// Options already set on the connection will be inherited by the table,
+    /// but can be overridden here.
+    ///
+    /// See available options at <https://lancedb.com/docs/storage/>
+    pub fn storage_options(
+        mut self,
+        pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
+    ) -> Self {
+        let store_params = self
+            .request
+            .write_options
+            .lance_write_params
+            .get_or_insert(Default::default())
+            .store_params
+            .get_or_insert(Default::default());
+        let updates = pairs
+            .into_iter()
+            .map(|(key, value)| (key.into(), value.into()));
+        merge_storage_options(store_params, updates);
+        self
+    }
+
+    /// Add an embedding definition to the table.
+    ///
+    /// The `embedding_name` must match the name of an embedding function that
+    /// was previously registered with the connection's [`EmbeddingRegistry`].
+    pub fn add_embedding(mut self, definition: EmbeddingDefinition) -> Result<Self> {
+        // Early verification of the embedding name
+        let embedding_func = self
+            .embedding_registry
+            .get(&definition.embedding_name)
+            .ok_or_else(|| Error::EmbeddingFunctionNotFound {
+                name: definition.embedding_name.clone(),
+                reason: "No embedding function found in the connection's embedding_registry"
+                    .to_string(),
+            })?;
+
+        self.embeddings.push((definition, embedding_func));
+        Ok(self)
+    }
+
+    /// Set whether to use V2 manifest paths for the table. (default: false)
+    ///
+    /// These paths provide more efficient opening of tables with many
+    /// versions on object stores.
+    ///
+    /// <div class="warning">Turning this on will make the dataset unreadable
+    /// for older versions of LanceDB (prior to 0.10.0).</div>
+    ///
+    /// To migrate an existing dataset, instead use the
+    /// [[NativeTable::migrate_manifest_paths_v2]].
+    ///
+    /// This has no effect in LanceDB Cloud.
+    #[deprecated(since = "0.15.1", note = "Use `database_options` instead")]
+    pub fn enable_v2_manifest_paths(mut self, use_v2_manifest_paths: bool) -> Self {
+        let store_params = self
+            .request
+            .write_options
+            .lance_write_params
+            .get_or_insert_with(Default::default)
+            .store_params
+            .get_or_insert_with(Default::default);
+        let value = if use_v2_manifest_paths {
+            "true".to_string()
+        } else {
+            "false".to_string()
+        };
+        merge_storage_options(
+            store_params,
+            [(OPT_NEW_TABLE_V2_MANIFEST_PATHS.to_string(), value)],
+        );
+        self
+    }
+
+    /// Set the data storage version.
+    ///
+    /// The default is `LanceFileVersion::Stable`.
+    #[deprecated(since = "0.15.1", note = "Use `database_options` instead")]
+    pub fn data_storage_version(mut self, data_storage_version: LanceFileVersion) -> Self {
+        let store_params = self
+            .request
+            .write_options
+            .lance_write_params
+            .get_or_insert_with(Default::default)
+            .store_params
+            .get_or_insert_with(Default::default);
+        merge_storage_options(
+            store_params,
+            [(
+                OPT_NEW_TABLE_STORAGE_VERSION.to_string(),
+                data_storage_version.to_string(),
+            )],
+        );
+        self
+    }
+
+    /// Set the namespace for the table
+    pub fn namespace(mut self, namespace: Vec<String>) -> Self {
+        self.request.namespace = namespace;
+        self
+    }
+
+    /// Set a custom location for the table.
+    ///
+    /// If not set, the database will derive a location from its URI and the table name.
+    /// This is useful when integrating with namespace systems that manage table locations.
+    pub fn location(mut self, location: impl Into<String>) -> Self {
+        self.request.location = Some(location.into());
+        self
+    }
+
+    /// Set a storage options provider for automatic credential refresh.
+    ///
+    /// This allows tables to automatically refresh cloud storage credentials
+    /// when they expire, enabling long-running operations on remote storage.
+    pub fn storage_options_provider(mut self, provider: Arc<dyn StorageOptionsProvider>) -> Self {
+        let store_params = self
+            .request
+            .write_options
+            .lance_write_params
+            .get_or_insert(Default::default())
+            .store_params
+            .get_or_insert(Default::default());
+        set_storage_options_provider(store_params, provider);
+        self
+    }
+}
+
 #[derive(Clone, Debug)]
 pub struct OpenTableBuilder {
    parent: Arc<dyn Database>,
@@ -351,17 +684,35 @@ impl Connection {
    ///
    /// * `name` - The name of the table
    /// * `initial_data` - The initial data to write to the table
-    pub fn create_table<T: Scannable + 'static>(
+    pub fn create_table<T: IntoArrow>(
        &self,
        name: impl Into<String>,
        initial_data: T,
-    ) -> CreateTableBuilder {
-        let initial_data = Box::new(initial_data);
-        CreateTableBuilder::new(
+    ) -> CreateTableBuilder<true> {
+        CreateTableBuilder::<true>::new(
            self.internal.clone(),
-            self.embedding_registry.clone(),
            name.into(),
            initial_data,
+            self.embedding_registry.clone(),
+        )
+    }
+
+    /// Create a new table from a stream of data
+    ///
+    /// # Parameters
+    ///
+    /// * `name` - The name of the table
+    /// * `initial_data` - The initial data to write to the table
+    pub fn create_table_streaming<T: IntoArrowStream>(
+        &self,
+        name: impl Into<String>,
+        initial_data: T,
+    ) -> CreateTableBuilder<true> {
+        CreateTableBuilder::<true>::new_streaming(
+            self.internal.clone(),
+            name.into(),
+            initial_data,
+            self.embedding_registry.clone(),
        )
    }

@@ -375,9 +726,13 @@ impl Connection {
        &self,
        name: impl Into<String>,
        schema: SchemaRef,
-    ) -> CreateTableBuilder {
-        let empty_batch = RecordBatch::new_empty(schema);
-        self.create_table(name, empty_batch)
+    ) -> CreateTableBuilder<false> {
+        CreateTableBuilder::<false>::new(
+            self.internal.clone(),
+            name.into(),
+            schema,
+            self.embedding_registry.clone(),
+        )
    }

    /// Open an existing table in the database
@@ -994,11 +1349,20 @@ mod test_utils {

 #[cfg(test)]
 mod tests {
+    use crate::database::listing::{ListingDatabaseOptions, NewTableConfig};
+    use crate::query::QueryBase;
+    use crate::query::{ExecutableQuery, QueryExecutionOptions};
+    use crate::test_utils::connection::new_test_connection;
+    use arrow::compute::concat_batches;
+    use arrow_array::RecordBatchReader;
    use arrow_schema::{DataType, Field, Schema};
+    use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
+    use futures::{stream, TryStreamExt};
+    use lance_core::error::{ArrowResult, DataFusionResult};
    use lance_testing::datagen::{BatchGenerator, IncrementingInt32};
    use tempfile::tempdir;

-    use crate::test_utils::connection::new_test_connection;
+    use crate::arrow::SimpleRecordBatchStream;

    use super::*;

@@ -1114,6 +1478,139 @@ mod tests {
        assert_eq!(tables, vec!["table1".to_owned()]);
    }

+    fn make_data() -> Box<dyn RecordBatchReader + Send + 'static> {
+        let id = Box::new(IncrementingInt32::new().named("id".to_string()));
+        Box::new(BatchGenerator::new().col(id).batches(10, 2000))
+    }
+
+    #[tokio::test]
+    async fn test_create_table_v2() {
+        let tmp_dir = tempdir().unwrap();
+        let uri = tmp_dir.path().to_str().unwrap();
+        let db = connect(uri)
+            .database_options(&ListingDatabaseOptions {
+                new_table_config: NewTableConfig {
+                    data_storage_version: Some(LanceFileVersion::Legacy),
+                    ..Default::default()
+                },
+                ..Default::default()
+            })
+            .execute()
+            .await
+            .unwrap();
+
+        let tbl = db
+            .create_table("v1_test", make_data())
+            .execute()
+            .await
+            .unwrap();
+
+        // In v1 the row group size will trump max_batch_length
+        let batches = tbl
+            .query()
+            .limit(20000)
+            .execute_with_options(QueryExecutionOptions {
+                max_batch_length: 50000,
+                ..Default::default()
+            })
+            .await
+            .unwrap()
+            .try_collect::<Vec<_>>()
+            .await
+            .unwrap();
+        assert_eq!(batches.len(), 20);
+
+        let db = connect(uri)
+            .database_options(&ListingDatabaseOptions {
+                new_table_config: NewTableConfig {
+                    data_storage_version: Some(LanceFileVersion::Stable),
+                    ..Default::default()
+                },
+                ..Default::default()
+            })
+            .execute()
+            .await
+            .unwrap();
+
+        let tbl = db
+            .create_table("v2_test", make_data())
+            .execute()
+            .await
+            .unwrap();
+
+        // In v2 the page size is much bigger than 50k so we should get a single batch
+        let batches = tbl
+            .query()
+            .execute_with_options(QueryExecutionOptions {
+                max_batch_length: 50000,
+                ..Default::default()
+            })
+            .await
+            .unwrap()
+            .try_collect::<Vec<_>>()
+            .await
+            .unwrap();
+
+        assert_eq!(batches.len(), 1);
+    }
+
+    #[tokio::test]
+    async fn test_create_table_streaming() {
+        let tmp_dir = tempdir().unwrap();
+
+        let uri = tmp_dir.path().to_str().unwrap();
+        let db = connect(uri).execute().await.unwrap();
+
+        let batches = make_data().collect::<ArrowResult<Vec<_>>>().unwrap();
+
+        let schema = batches.first().unwrap().schema();
+        let one_batch = concat_batches(&schema, batches.iter()).unwrap();
+
+        let ldb_stream = stream::iter(batches.clone().into_iter().map(Result::Ok));
+        let ldb_stream: SendableRecordBatchStream =
+            Box::pin(SimpleRecordBatchStream::new(ldb_stream, schema.clone()));
+
+        let tbl1 = db
+            .create_table_streaming("one", ldb_stream)
+            .execute()
+            .await
+            .unwrap();
+
+        let df_stream = stream::iter(batches.into_iter().map(DataFusionResult::Ok));
+        let df_stream: datafusion_physical_plan::SendableRecordBatchStream =
+            Box::pin(RecordBatchStreamAdapter::new(schema.clone(), df_stream));
+
+        let tbl2 = db
+            .create_table_streaming("two", df_stream)
+            .execute()
+            .await
+            .unwrap();
+
+        let tbl1_data = tbl1
+            .query()
+            .execute()
+            .await
+            .unwrap()
+            .try_collect::<Vec<_>>()
+            .await
+            .unwrap();
+
+        let tbl1_data = concat_batches(&schema, tbl1_data.iter()).unwrap();
+        assert_eq!(tbl1_data, one_batch);
+
+        let tbl2_data = tbl2
+            .query()
+            .execute()
+            .await
+            .unwrap()
+            .try_collect::<Vec<_>>()
+            .await
+            .unwrap();
+
+        let tbl2_data = concat_batches(&schema, tbl2_data.iter()).unwrap();
+        assert_eq!(tbl2_data, one_batch);
+    }
+
    #[tokio::test]
    async fn drop_table() {
        let tc = new_test_connection().await.unwrap();
@@ -1143,6 +1640,41 @@ mod tests {
        assert_eq!(tables.len(), 0);
    }

+    #[tokio::test]
+    async fn test_create_table_already_exists() {
+        let tmp_dir = tempdir().unwrap();
+        let uri = tmp_dir.path().to_str().unwrap();
+        let db = connect(uri).execute().await.unwrap();
+        let schema = Arc::new(Schema::new(vec![Field::new("x", DataType::Int32, false)]));
+        db.create_empty_table("test", schema.clone())
+            .execute()
+            .await
+            .unwrap();
+        // TODO: None of the open table options are "inspectable" right now but once one is we
+        // should assert we are passing these options in correctly
+        db.create_empty_table("test", schema)
+            .mode(CreateTableMode::exist_ok(|mut req| {
+                req.index_cache_size = Some(16);
+                req
+            }))
+            .execute()
+            .await
+            .unwrap();
+        let other_schema = Arc::new(Schema::new(vec![Field::new("y", DataType::Int32, false)]));
+        assert!(db
+            .create_empty_table("test", other_schema.clone())
+            .execute()
+            .await
+            .is_err());
+        let overwritten = db
+            .create_empty_table("test", other_schema.clone())
+            .mode(CreateTableMode::Overwrite)
+            .execute()
+            .await
+            .unwrap();
+        assert_eq!(other_schema, overwritten.schema().await.unwrap());
+    }
+
    #[tokio::test]
    async fn test_clone_table() {
        let tmp_dir = tempdir().unwrap();
@@ -1153,8 +1685,7 @@ mod tests {
        let mut batch_gen = BatchGenerator::new()
            .col(Box::new(IncrementingInt32::new().named("id")))
            .col(Box::new(IncrementingInt32::new().named("value")));
-        let reader: Box<dyn arrow_array::RecordBatchReader + Send> =
-            Box::new(batch_gen.batches(5, 100));
+        let reader = batch_gen.batches(5, 100);

        let source_table = db
            .create_table("source_table", reader)
@@ -1189,4 +1720,128 @@ mod tests {
        let cloned_count = cloned_table.count_rows(None).await.unwrap();
        assert_eq!(source_count, cloned_count);
    }
+
+    #[tokio::test]
+    async fn test_create_empty_table_with_embeddings() {
+        use crate::embeddings::{EmbeddingDefinition, EmbeddingFunction};
+        use arrow_array::{
+            Array, FixedSizeListArray, Float32Array, RecordBatch, RecordBatchIterator, StringArray,
+        };
+        use std::borrow::Cow;
+
+        #[derive(Debug, Clone)]
+        struct MockEmbedding {
+            dim: usize,
+        }
+
+        impl EmbeddingFunction for MockEmbedding {
+            fn name(&self) -> &str {
+                "test_embedding"
+            }
+
+            fn source_type(&self) -> Result<Cow<'_, DataType>> {
+                Ok(Cow::Owned(DataType::Utf8))
+            }
+
+            fn dest_type(&self) -> Result<Cow<'_, DataType>> {
+                Ok(Cow::Owned(DataType::new_fixed_size_list(
+                    DataType::Float32,
+                    self.dim as i32,
+                    true,
+                )))
+            }
+
+            fn compute_source_embeddings(&self, source: Arc<dyn Array>) -> Result<Arc<dyn Array>> {
+                let len = source.len();
+                let values = vec![1.0f32; len * self.dim];
+                let values = Arc::new(Float32Array::from(values));
+                let field = Arc::new(Field::new("item", DataType::Float32, true));
+                Ok(Arc::new(FixedSizeListArray::new(
+                    field,
+                    self.dim as i32,
+                    values,
+                    None,
+                )))
+            }
+
+            fn compute_query_embeddings(&self, _input: Arc<dyn Array>) -> Result<Arc<dyn Array>> {
+                unimplemented!()
+            }
+        }
+
+        let tmp_dir = tempdir().unwrap();
+        let uri = tmp_dir.path().to_str().unwrap();
+        let db = connect(uri).execute().await.unwrap();
+
+        let embed_func = Arc::new(MockEmbedding { dim: 128 });
+        db.embedding_registry()
+            .register("test_embedding", embed_func.clone())
+            .unwrap();
+
+        let schema = Arc::new(Schema::new(vec![Field::new("name", DataType::Utf8, true)]));
+        let ed = EmbeddingDefinition {
+            source_column: "name".to_owned(),
+            dest_column: Some("name_embedding".to_owned()),
+            embedding_name: "test_embedding".to_owned(),
+        };
+
+        let table = db
+            .create_empty_table("test", schema)
+            .mode(CreateTableMode::Overwrite)
+            .add_embedding(ed)
+            .unwrap()
+            .execute()
+            .await
+            .unwrap();
+
+        let table_schema = table.schema().await.unwrap();
+        assert!(table_schema.column_with_name("name").is_some());
+        assert!(table_schema.column_with_name("name_embedding").is_some());
+
+        let embedding_field = table_schema.field_with_name("name_embedding").unwrap();
+        assert_eq!(
+            embedding_field.data_type(),
+            &DataType::new_fixed_size_list(DataType::Float32, 128, true)
+        );
+
+        let input_schema = Arc::new(Schema::new(vec![Field::new("name", DataType::Utf8, true)]));
+        let input_batch = RecordBatch::try_new(
+            input_schema.clone(),
+            vec![Arc::new(StringArray::from(vec![
+                Some("Alice"),
+                Some("Bob"),
+                Some("Charlie"),
+            ]))],
+        )
+        .unwrap();
+
+        let input_reader = Box::new(RecordBatchIterator::new(
+            vec![Ok(input_batch)].into_iter(),
+            input_schema,
+        ));
+
+        table.add(input_reader).execute().await.unwrap();
+
+        let results = table
+            .query()
+            .execute()
+            .await
+            .unwrap()
+            .try_collect::<Vec<_>>()
+            .await
+            .unwrap();
+
+        assert_eq!(results.len(), 1);
+        let batch = &results[0];
+        assert_eq!(batch.num_rows(), 3);
+        assert!(batch.column_by_name("name_embedding").is_some());
+
+        let embedding_col = batch
+            .column_by_name("name_embedding")
+            .unwrap()
+            .as_any()
+            .downcast_ref::<FixedSizeListArray>()
+            .unwrap();
+        assert_eq!(embedding_col.len(), 3);
+    }
 }
--- a/rust/lancedb/src/connection/create_table.rs
+++ b/rust/lancedb/src/connection/create_table.rs
@@ -1,612 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-use std::sync::Arc;
-
-use lance_io::object_store::StorageOptionsProvider;
-
-use crate::{
-    connection::{merge_storage_options, set_storage_options_provider},
-    data::scannable::{Scannable, WithEmbeddingsScannable},
-    database::{CreateTableMode, CreateTableRequest, Database},
-    embeddings::{EmbeddingDefinition, EmbeddingFunction, EmbeddingRegistry},
-    table::WriteOptions,
-    Error, Result, Table,
-};
-
-pub struct CreateTableBuilder {
-    parent: Arc<dyn Database>,
-    embeddings: Vec<(EmbeddingDefinition, Arc<dyn EmbeddingFunction>)>,
-    embedding_registry: Arc<dyn EmbeddingRegistry>,
-    request: CreateTableRequest,
-}
-
-impl CreateTableBuilder {
-    pub(super) fn new(
-        parent: Arc<dyn Database>,
-        embedding_registry: Arc<dyn EmbeddingRegistry>,
-        name: String,
-        data: Box<dyn Scannable>,
-    ) -> Self {
-        Self {
-            parent,
-            embeddings: Vec::new(),
-            embedding_registry,
-            request: CreateTableRequest::new(name, data),
-        }
-    }
-
-    /// Set the mode for creating the table
-    ///
-    /// This controls what happens if a table with the given name already exists
-    pub fn mode(mut self, mode: CreateTableMode) -> Self {
-        self.request.mode = mode;
-        self
-    }
-
-    /// Apply the given write options when writing the initial data
-    pub fn write_options(mut self, write_options: WriteOptions) -> Self {
-        self.request.write_options = write_options;
-        self
-    }
-
-    /// Set an option for the storage layer.
-    ///
-    /// Options already set on the connection will be inherited by the table,
-    /// but can be overridden here.
-    ///
-    /// See available options at <https://lancedb.com/docs/storage/>
-    pub fn storage_option(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
-        let store_params = self
-            .request
-            .write_options
-            .lance_write_params
-            .get_or_insert(Default::default())
-            .store_params
-            .get_or_insert(Default::default());
-        merge_storage_options(store_params, [(key.into(), value.into())]);
-        self
-    }
-
-    /// Set multiple options for the storage layer.
-    ///
-    /// Options already set on the connection will be inherited by the table,
-    /// but can be overridden here.
-    ///
-    /// See available options at <https://lancedb.com/docs/storage/>
-    pub fn storage_options(
-        mut self,
-        pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
-    ) -> Self {
-        let store_params = self
-            .request
-            .write_options
-            .lance_write_params
-            .get_or_insert(Default::default())
-            .store_params
-            .get_or_insert(Default::default());
-        let updates = pairs
-            .into_iter()
-            .map(|(key, value)| (key.into(), value.into()));
-        merge_storage_options(store_params, updates);
-        self
-    }
-
-    /// Add an embedding definition to the table.
-    ///
-    /// The `embedding_name` must match the name of an embedding function that
-    /// was previously registered with the connection's [`EmbeddingRegistry`].
-    pub fn add_embedding(mut self, definition: EmbeddingDefinition) -> Result<Self> {
-        // Early verification of the embedding name
-        let embedding_func = self
-            .embedding_registry
-            .get(&definition.embedding_name)
-            .ok_or_else(|| Error::EmbeddingFunctionNotFound {
-                name: definition.embedding_name.clone(),
-                reason: "No embedding function found in the connection's embedding_registry"
-                    .to_string(),
-            })?;
-
-        self.embeddings.push((definition, embedding_func));
-        Ok(self)
-    }
-
-    /// Set the namespace for the table
-    pub fn namespace(mut self, namespace: Vec<String>) -> Self {
-        self.request.namespace = namespace;
-        self
-    }
-
-    /// Set a custom location for the table.
-    ///
-    /// If not set, the database will derive a location from its URI and the table name.
-    /// This is useful when integrating with namespace systems that manage table locations.
-    pub fn location(mut self, location: impl Into<String>) -> Self {
-        self.request.location = Some(location.into());
-        self
-    }
-
-    /// Set a storage options provider for automatic credential refresh.
-    ///
-    /// This allows tables to automatically refresh cloud storage credentials
-    /// when they expire, enabling long-running operations on remote storage.
-    pub fn storage_options_provider(mut self, provider: Arc<dyn StorageOptionsProvider>) -> Self {
-        let store_params = self
-            .request
-            .write_options
-            .lance_write_params
-            .get_or_insert(Default::default())
-            .store_params
-            .get_or_insert(Default::default());
-        set_storage_options_provider(store_params, provider);
-        self
-    }
-
-    /// Execute the create table operation
-    pub async fn execute(mut self) -> Result<Table> {
-        let embedding_registry = self.embedding_registry.clone();
-        let parent = self.parent.clone();
-
-        // If embeddings were configured via add_embedding(), wrap the data
-        if !self.embeddings.is_empty() {
-            let wrapped_data: Box<dyn Scannable> = Box::new(WithEmbeddingsScannable::try_new(
-                self.request.data,
-                self.embeddings,
-            )?);
-            self.request.data = wrapped_data;
-        }
-
-        Ok(Table::new_with_embedding_registry(
-            parent.create_table(self.request).await?,
-            parent,
-            embedding_registry,
-        ))
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use arrow_array::{
-        record_batch, Array, FixedSizeListArray, Float32Array, RecordBatch, RecordBatchIterator,
-    };
-    use arrow_schema::{ArrowError, DataType, Field, Schema};
-    use futures::TryStreamExt;
-    use lance_file::version::LanceFileVersion;
-    use tempfile::tempdir;
-
-    use crate::{
-        arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
-        connect,
-        database::listing::{ListingDatabaseOptions, NewTableConfig},
-        embeddings::{EmbeddingDefinition, EmbeddingFunction, MemoryRegistry},
-        query::{ExecutableQuery, QueryBase, Select},
-        test_utils::embeddings::MockEmbed,
-    };
-    use std::borrow::Cow;
-
-    use super::*;
-
-    #[tokio::test]
-    async fn create_empty_table() {
-        let db = connect("memory://").execute().await.unwrap();
-        let schema = Arc::new(Schema::new(vec![
-            Field::new("id", DataType::Int64, false),
-            Field::new("value", DataType::Float64, false),
-        ]));
-        db.create_empty_table("name", schema.clone())
-            .execute()
-            .await
-            .unwrap();
-        let table = db.open_table("name").execute().await.unwrap();
-        assert_eq!(table.schema().await.unwrap(), schema);
-        assert_eq!(table.count_rows(None).await.unwrap(), 0);
-    }
-
-    async fn test_create_table_with_data<T>(data: T)
-    where
-        T: Scannable + 'static,
-    {
-        let db = connect("memory://").execute().await.unwrap();
-        let schema = data.schema();
-        db.create_table("data_table", data).execute().await.unwrap();
-        let table = db.open_table("data_table").execute().await.unwrap();
-        assert_eq!(table.count_rows(None).await.unwrap(), 3);
-        assert_eq!(table.schema().await.unwrap(), schema);
-    }
-
-    #[tokio::test]
-    async fn create_table_with_batch() {
-        let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-        test_create_table_with_data(batch).await;
-    }
-
-    #[tokio::test]
-    async fn test_create_table_with_vec_batch() {
-        let data = vec![
-            record_batch!(("id", Int64, [1, 2])).unwrap(),
-            record_batch!(("id", Int64, [3])).unwrap(),
-        ];
-        test_create_table_with_data(data).await;
-    }
-
-    #[tokio::test]
-    async fn test_create_table_with_record_batch_reader() {
-        let data = vec![
-            record_batch!(("id", Int64, [1, 2])).unwrap(),
-            record_batch!(("id", Int64, [3])).unwrap(),
-        ];
-        let schema = data[0].schema();
-        let reader: Box<dyn arrow_array::RecordBatchReader + Send> = Box::new(
-            RecordBatchIterator::new(data.into_iter().map(Ok), schema.clone()),
-        );
-        test_create_table_with_data(reader).await;
-    }
-
-    #[tokio::test]
-    async fn test_create_table_with_stream() {
-        let data = vec![
-            record_batch!(("id", Int64, [1, 2])).unwrap(),
-            record_batch!(("id", Int64, [3])).unwrap(),
-        ];
-        let schema = data[0].schema();
-        let inner = futures::stream::iter(data.into_iter().map(Ok));
-        let stream: SendableRecordBatchStream = Box::pin(SimpleRecordBatchStream {
-            schema,
-            stream: inner,
-        });
-        test_create_table_with_data(stream).await;
-    }
-
-    #[derive(Debug)]
-    struct MyError;
-
-    impl std::fmt::Display for MyError {
-        fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
-            write!(f, "MyError occurred")
-        }
-    }
-
-    impl std::error::Error for MyError {}
-
-    #[tokio::test]
-    async fn test_create_preserves_reader_error() {
-        let first_batch = record_batch!(("id", Int64, [1, 2])).unwrap();
-        let schema = first_batch.schema();
-        let iterator = vec![
-            Ok(first_batch),
-            Err(ArrowError::ExternalError(Box::new(MyError))),
-        ];
-        let reader: Box<dyn arrow_array::RecordBatchReader + Send> = Box::new(
-            RecordBatchIterator::new(iterator.into_iter(), schema.clone()),
-        );
-
-        let db = connect("memory://").execute().await.unwrap();
-        let result = db.create_table("failing_table", reader).execute().await;
-
-        assert!(result.is_err());
-        // TODO: when we upgrade to Lance 2.0.0, this should pass
-        // assert!(matches!(result, Err(Error::External { source})
-        //     if source.downcast_ref::<MyError>().is_some()
-        // ));
-    }
-
-    #[tokio::test]
-    async fn test_create_preserves_stream_error() {
-        let first_batch = record_batch!(("id", Int64, [1, 2])).unwrap();
-        let schema = first_batch.schema();
-        let iterator = vec![
-            Ok(first_batch),
-            Err(Error::External {
-                source: Box::new(MyError),
-            }),
-        ];
-        let stream = futures::stream::iter(iterator);
-        let stream: SendableRecordBatchStream = Box::pin(SimpleRecordBatchStream {
-            schema: schema.clone(),
-            stream,
-        });
-
-        let db = connect("memory://").execute().await.unwrap();
-        let result = db
-            .create_table("failing_stream_table", stream)
-            .execute()
-            .await;
-
-        assert!(result.is_err());
-        // TODO: when we upgrade to Lance 2.0.0, this should pass
-        // assert!(matches!(result, Err(Error::External { source})
-        //     if source.downcast_ref::<MyError>().is_some()
-        // ));
-    }
-
-    #[tokio::test]
-    #[allow(deprecated)]
-    async fn test_create_table_with_storage_options() {
-        let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-        let db = connect("memory://").execute().await.unwrap();
-
-        let table = db
-            .create_table("options_table", batch)
-            .storage_option("timeout", "30s")
-            .storage_options([("retry_count", "3")])
-            .execute()
-            .await
-            .unwrap();
-
-        let final_options = table.storage_options().await.unwrap();
-        assert_eq!(final_options.get("timeout"), Some(&"30s".to_string()));
-        assert_eq!(final_options.get("retry_count"), Some(&"3".to_string()));
-    }
-
-    #[tokio::test]
-    async fn test_create_table_unregistered_embedding() {
-        let db = connect("memory://").execute().await.unwrap();
-        let batch = record_batch!(("text", Utf8, ["hello", "world"])).unwrap();
-
-        // Try to add an embedding that doesn't exist in the registry
-        let result = db
-            .create_table("embed_table", batch)
-            .add_embedding(EmbeddingDefinition::new(
-                "text",
-                "nonexistent_embedding_function",
-                None::<&str>,
-            ));
-
-        match result {
-            Err(Error::EmbeddingFunctionNotFound { name, .. }) => {
-                assert_eq!(name, "nonexistent_embedding_function");
-            }
-            Err(other) => panic!("Expected EmbeddingFunctionNotFound error, got: {:?}", other),
-            Ok(_) => panic!("Expected error, but got Ok"),
-        }
-    }
-
-    #[tokio::test]
-    async fn test_create_table_already_exists() {
-        let tmp_dir = tempdir().unwrap();
-        let uri = tmp_dir.path().to_str().unwrap();
-        let db = connect(uri).execute().await.unwrap();
-        let schema = Arc::new(Schema::new(vec![Field::new("x", DataType::Int32, false)]));
-        db.create_empty_table("test", schema.clone())
-            .execute()
-            .await
-            .unwrap();
-        db.create_empty_table("test", schema)
-            .mode(CreateTableMode::exist_ok(|mut req| {
-                req.index_cache_size = Some(16);
-                req
-            }))
-            .execute()
-            .await
-            .unwrap();
-        let other_schema = Arc::new(Schema::new(vec![Field::new("y", DataType::Int32, false)]));
-        assert!(db
-            .create_empty_table("test", other_schema.clone())
-            .execute()
-            .await
-            .is_err()); // TODO: assert what this error is
-        let overwritten = db
-            .create_empty_table("test", other_schema.clone())
-            .mode(CreateTableMode::Overwrite)
-            .execute()
-            .await
-            .unwrap();
-        assert_eq!(other_schema, overwritten.schema().await.unwrap());
-    }
-
-    #[tokio::test]
-    #[rstest::rstest]
-    #[case(LanceFileVersion::Legacy)]
-    #[case(LanceFileVersion::Stable)]
-    async fn test_create_table_with_storage_version(
-        #[case] data_storage_version: LanceFileVersion,
-    ) {
-        let db = connect("memory://")
-            .database_options(&ListingDatabaseOptions {
-                new_table_config: NewTableConfig {
-                    data_storage_version: Some(data_storage_version),
-                    ..Default::default()
-                },
-                ..Default::default()
-            })
-            .execute()
-            .await
-            .unwrap();
-
-        let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-        let table = db
-            .create_table("legacy_table", batch)
-            .execute()
-            .await
-            .unwrap();
-
-        let native_table = table.as_native().unwrap();
-        let storage_format = native_table
-            .manifest()
-            .await
-            .unwrap()
-            .data_storage_format
-            .lance_file_version()
-            .unwrap();
-        // Compare resolved versions since Stable/Next are aliases that resolve at storage time
-        assert_eq!(storage_format.resolve(), data_storage_version.resolve());
-    }
-
-    #[tokio::test]
-    async fn test_create_table_with_embedding() {
-        // Register the mock embedding function
-        let registry = Arc::new(MemoryRegistry::new());
-        let mock_embedding: Arc<dyn EmbeddingFunction> = Arc::new(MockEmbed::new("mock", 4));
-        registry.register("mock", mock_embedding).unwrap();
-
-        // Connect with the custom registry
-        let conn = connect("memory://")
-            .embedding_registry(registry)
-            .execute()
-            .await
-            .unwrap();
-
-        // Create data without the embedding column
-        let batch = record_batch!(("text", Utf8, ["hello", "world", "test"])).unwrap();
-
-        // Create table with add_embedding - embeddings should be computed automatically
-        let table = conn
-            .create_table("embed_test", batch)
-            .add_embedding(EmbeddingDefinition::new(
-                "text",
-                "mock",
-                Some("text_embedding"),
-            ))
-            .unwrap()
-            .execute()
-            .await
-            .unwrap();
-
-        // Verify row count
-        assert_eq!(table.count_rows(None).await.unwrap(), 3);
-
-        // Verify the schema includes the embedding column
-        let result_schema = table.schema().await.unwrap();
-        assert_eq!(result_schema.fields().len(), 2);
-        assert_eq!(result_schema.field(0).name(), "text");
-        assert_eq!(result_schema.field(1).name(), "text_embedding");
-
-        // Verify the embedding column has the correct type
-        assert!(matches!(
-            result_schema.field(1).data_type(),
-            DataType::FixedSizeList(_, 4)
-        ));
-
-        // Query to verify the embeddings were computed
-        let results: Vec<RecordBatch> = table
-            .query()
-            .select(Select::columns(&["text", "text_embedding"]))
-            .execute()
-            .await
-            .unwrap()
-            .try_collect()
-            .await
-            .unwrap();
-
-        let total_rows: usize = results.iter().map(|b| b.num_rows()).sum();
-        assert_eq!(total_rows, 3);
-
-        // Check that all rows have embedding values (not null)
-        for batch in &results {
-            let embedding_col = batch.column(1);
-            assert_eq!(embedding_col.null_count(), 0);
-            assert_eq!(embedding_col.len(), batch.num_rows());
-        }
-
-        // Verify the schema metadata contains the column definitions
-        assert!(
-            result_schema
-                .metadata
-                .contains_key("lancedb::column_definitions"),
-            "Schema metadata should contain column definitions"
-        );
-    }
-
-    #[tokio::test]
-    async fn test_create_empty_table_with_embeddings() {
-        #[derive(Debug, Clone)]
-        struct MockEmbedding {
-            dim: usize,
-        }
-
-        impl EmbeddingFunction for MockEmbedding {
-            fn name(&self) -> &str {
-                "test_embedding"
-            }
-
-            fn source_type(&self) -> Result<Cow<'_, DataType>> {
-                Ok(Cow::Owned(DataType::Utf8))
-            }
-
-            fn dest_type(&self) -> Result<Cow<'_, DataType>> {
-                Ok(Cow::Owned(DataType::new_fixed_size_list(
-                    DataType::Float32,
-                    self.dim as i32,
-                    true,
-                )))
-            }
-
-            fn compute_source_embeddings(&self, source: Arc<dyn Array>) -> Result<Arc<dyn Array>> {
-                let len = source.len();
-                let values = vec![1.0f32; len * self.dim];
-                let values = Arc::new(Float32Array::from(values));
-                let field = Arc::new(Field::new("item", DataType::Float32, true));
-                Ok(Arc::new(FixedSizeListArray::new(
-                    field,
-                    self.dim as i32,
-                    values,
-                    None,
-                )))
-            }
-
-            fn compute_query_embeddings(&self, _input: Arc<dyn Array>) -> Result<Arc<dyn Array>> {
-                unimplemented!()
-            }
-        }
-
-        let tmp_dir = tempdir().unwrap();
-        let uri = tmp_dir.path().to_str().unwrap();
-        let db = connect(uri).execute().await.unwrap();
-
-        let embed_func = Arc::new(MockEmbedding { dim: 128 });
-        db.embedding_registry()
-            .register("test_embedding", embed_func.clone())
-            .unwrap();
-
-        let schema = Arc::new(Schema::new(vec![Field::new("name", DataType::Utf8, true)]));
-        let ed = EmbeddingDefinition {
-            source_column: "name".to_owned(),
-            dest_column: Some("name_embedding".to_owned()),
-            embedding_name: "test_embedding".to_owned(),
-        };
-
-        let table = db
-            .create_empty_table("test", schema)
-            .mode(CreateTableMode::Overwrite)
-            .add_embedding(ed)
-            .unwrap()
-            .execute()
-            .await
-            .unwrap();
-
-        let table_schema = table.schema().await.unwrap();
-        assert!(table_schema.column_with_name("name").is_some());
-        assert!(table_schema.column_with_name("name_embedding").is_some());
-
-        let embedding_field = table_schema.field_with_name("name_embedding").unwrap();
-        assert_eq!(
-            embedding_field.data_type(),
-            &DataType::new_fixed_size_list(DataType::Float32, 128, true)
-        );
-
-        let input_batch = record_batch!(("name", Utf8, ["Alice", "Bob", "Charlie"])).unwrap();
-        table.add(input_batch).execute().await.unwrap();
-
-        let results = table
-            .query()
-            .execute()
-            .await
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-
-        assert_eq!(results.len(), 1);
-        let batch = &results[0];
-        assert_eq!(batch.num_rows(), 3);
-        assert!(batch.column_by_name("name_embedding").is_some());
-
-        let embedding_col = batch
-            .column_by_name("name_embedding")
-            .unwrap()
-            .as_any()
-            .downcast_ref::<FixedSizeListArray>()
-            .unwrap();
-        assert_eq!(embedding_col.len(), 3);
-    }
-}
--- a/rust/lancedb/src/data.rs
+++ b/rust/lancedb/src/data.rs
@@ -5,4 +5,3 @@

 pub mod inspect;
 pub mod sanitize;
-pub mod scannable;
--- a/rust/lancedb/src/data/scannable.rs
+++ b/rust/lancedb/src/data/scannable.rs
@@ -1,968 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! Data source abstraction for LanceDB.
-//!
-//! This module provides a [`Scannable`] trait that allows input data sources to express
-//! capabilities (row count, rescannability) so the insert pipeline can make
-//! better decisions about write parallelism and retry strategies.
-
-use std::sync::Arc;
-
-use crate::arrow::{
-    SendableRecordBatchStream, SendableRecordBatchStreamExt, SimpleRecordBatchStream,
-};
-use crate::embeddings::{
-    compute_embeddings_for_batch, compute_output_schema, EmbeddingDefinition, EmbeddingFunction,
-    EmbeddingRegistry,
-};
-use crate::table::{ColumnDefinition, ColumnKind, TableDefinition};
-use crate::{Error, Result};
-use arrow_array::{ArrayRef, RecordBatch, RecordBatchIterator, RecordBatchReader};
-use arrow_schema::{ArrowError, SchemaRef};
-use async_trait::async_trait;
-use futures::stream::once;
-use futures::StreamExt;
-use lance_datafusion::utils::StreamingWriteSource;
-
-pub trait Scannable: Send {
-    /// Returns the schema of the data.
-    fn schema(&self) -> SchemaRef;
-
-    /// Read data as a stream of record batches.
-    ///
-    /// For rescannable sources (in-memory data like RecordBatch, Vec<RecordBatch>),
-    /// this can be called multiple times and returns cloned data each time.
-    ///
-    /// For non-rescannable sources (streams, readers), this can only be called once.
-    /// Calling it a second time returns a stream whose first item is an error.
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream;
-
-    /// Optional hint about the number of rows.
-    ///
-    /// When available, this allows the pipeline to estimate total data size
-    /// and choose appropriate partitioning.
-    fn num_rows(&self) -> Option<usize> {
-        None
-    }
-
-    /// Whether the source can be re-read from the beginning.
-    ///
-    /// `true` for in-memory data (Tables, DataFrames) and disk-based sources (Datasets).
-    /// `false` for streaming sources (DuckDB results, network streams).
-    ///
-    /// When true, the pipeline can retry failed writes by rescanning.
-    fn rescannable(&self) -> bool {
-        false
-    }
-}
-
-impl std::fmt::Debug for dyn Scannable {
-    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
-        f.debug_struct("Scannable")
-            .field("schema", &self.schema())
-            .field("num_rows", &self.num_rows())
-            .field("rescannable", &self.rescannable())
-            .finish()
-    }
-}
-
-impl Scannable for RecordBatch {
-    fn schema(&self) -> SchemaRef {
-        Self::schema(self)
-    }
-
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
-        let batch = self.clone();
-        let schema = batch.schema();
-        Box::pin(SimpleRecordBatchStream {
-            schema,
-            stream: once(async move { Ok(batch) }),
-        })
-    }
-
-    fn num_rows(&self) -> Option<usize> {
-        Some(Self::num_rows(self))
-    }
-
-    fn rescannable(&self) -> bool {
-        true
-    }
-}
-
-impl Scannable for Vec<RecordBatch> {
-    fn schema(&self) -> SchemaRef {
-        if self.is_empty() {
-            Arc::new(arrow_schema::Schema::empty())
-        } else {
-            self[0].schema()
-        }
-    }
-
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
-        if self.is_empty() {
-            let schema = Scannable::schema(self);
-            return Box::pin(SimpleRecordBatchStream {
-                schema,
-                stream: once(async {
-                    Err(Error::InvalidInput {
-                        message: "Cannot scan an empty Vec<RecordBatch>".to_string(),
-                    })
-                }),
-            });
-        }
-        let schema = Scannable::schema(self);
-        let batches = self.clone();
-        let stream = futures::stream::iter(batches.into_iter().map(Ok));
-        Box::pin(SimpleRecordBatchStream { schema, stream })
-    }
-
-    fn num_rows(&self) -> Option<usize> {
-        Some(self.iter().map(|b| b.num_rows()).sum())
-    }
-
-    fn rescannable(&self) -> bool {
-        true
-    }
-}
-
-impl Scannable for Box<dyn RecordBatchReader + Send> {
-    fn schema(&self) -> SchemaRef {
-        RecordBatchReader::schema(self.as_ref())
-    }
-
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
-        let schema = Scannable::schema(self);
-
-        // Swap self with a reader that errors on iteration, so a second call
-        // produces a clear error instead of silently returning empty data.
-        let err_reader: Box<dyn RecordBatchReader + Send> = Box::new(RecordBatchIterator::new(
-            vec![Err(ArrowError::InvalidArgumentError(
-                "Reader has already been consumed".into(),
-            ))],
-            schema.clone(),
-        ));
-        let reader = std::mem::replace(self, err_reader);
-
-        // Bridge the blocking RecordBatchReader to an async stream via a channel.
-        let (tx, rx) = tokio::sync::mpsc::channel::<crate::Result<RecordBatch>>(2);
-        tokio::task::spawn_blocking(move || {
-            for batch_result in reader {
-                let result = batch_result.map_err(Into::into);
-                if tx.blocking_send(result).is_err() {
-                    break;
-                }
-            }
-        });
-
-        let stream = futures::stream::unfold(rx, |mut rx| async move {
-            rx.recv().await.map(|batch| (batch, rx))
-        })
-        .fuse();
-
-        Box::pin(SimpleRecordBatchStream { schema, stream })
-    }
-}
-
-impl Scannable for SendableRecordBatchStream {
-    fn schema(&self) -> SchemaRef {
-        self.as_ref().schema()
-    }
-
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
-        let schema = Scannable::schema(self);
-
-        // Swap self with an error stream so a second call produces a clear error.
-        let error_stream = Box::pin(SimpleRecordBatchStream {
-            schema: schema.clone(),
-            stream: once(async {
-                Err(Error::InvalidInput {
-                    message: "Stream has already been consumed".to_string(),
-                })
-            }),
-        });
-        std::mem::replace(self, error_stream)
-    }
-}
-
-#[async_trait]
-impl StreamingWriteSource for Box<dyn Scannable> {
-    fn arrow_schema(&self) -> SchemaRef {
-        self.schema()
-    }
-
-    fn into_stream(mut self) -> datafusion_physical_plan::SendableRecordBatchStream {
-        self.scan_as_stream().into_df_stream()
-    }
-}
-
-/// A scannable that applies embeddings to the stream.
-pub struct WithEmbeddingsScannable {
-    inner: Box<dyn Scannable>,
-    embeddings: Vec<(EmbeddingDefinition, Arc<dyn EmbeddingFunction>)>,
-    output_schema: SchemaRef,
-}
-
-impl WithEmbeddingsScannable {
-    /// Create a new WithEmbeddingsScannable.
-    ///
-    /// The embeddings are applied to the inner scannable's data as new columns.
-    pub fn try_new(
-        inner: Box<dyn Scannable>,
-        embeddings: Vec<(EmbeddingDefinition, Arc<dyn EmbeddingFunction>)>,
-    ) -> Result<Self> {
-        let output_schema = compute_output_schema(&inner.schema(), &embeddings)?;
-
-        // Build column definitions: Physical for base columns, Embedding for new ones
-        let base_col_count = inner.schema().fields().len();
-        let column_definitions: Vec<ColumnDefinition> = (0..base_col_count)
-            .map(|_| ColumnDefinition {
-                kind: ColumnKind::Physical,
-            })
-            .chain(embeddings.iter().map(|(ed, _)| ColumnDefinition {
-                kind: ColumnKind::Embedding(ed.clone()),
-            }))
-            .collect();
-
-        let table_definition = TableDefinition::new(output_schema, column_definitions);
-        let output_schema = table_definition.into_rich_schema();
-
-        Self::with_schema(inner, embeddings, output_schema)
-    }
-
-    /// Create a WithEmbeddingsScannable with a specific output schema.
-    ///
-    /// Use this when the table schema is already known (e.g. during add) to
-    /// avoid nullability mismatches between the embedding function's declared
-    /// type and the table's stored type.
-    pub fn with_schema(
-        inner: Box<dyn Scannable>,
-        embeddings: Vec<(EmbeddingDefinition, Arc<dyn EmbeddingFunction>)>,
-        output_schema: SchemaRef,
-    ) -> Result<Self> {
-        Ok(Self {
-            inner,
-            embeddings,
-            output_schema,
-        })
-    }
-}
-
-impl Scannable for WithEmbeddingsScannable {
-    fn schema(&self) -> SchemaRef {
-        self.output_schema.clone()
-    }
-
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
-        let inner_stream = self.inner.scan_as_stream();
-        let embeddings = self.embeddings.clone();
-        let output_schema = self.output_schema.clone();
-        let stream_schema = output_schema.clone();
-
-        let mapped_stream = inner_stream.then(move |batch_result| {
-            let embeddings = embeddings.clone();
-            let output_schema = output_schema.clone();
-            async move {
-                let batch = batch_result?;
-                let result = tokio::task::spawn_blocking(move || {
-                    compute_embeddings_for_batch(batch, &embeddings)
-                })
-                .await
-                .map_err(|e| Error::Runtime {
-                    message: format!("Task panicked during embedding computation: {}", e),
-                })??;
-                // Cast columns to match the declared output schema. The data is
-                // identical but field metadata (e.g. nested nullability) may
-                // differ between the embedding function output and the table.
-                let columns: Vec<ArrayRef> = result
-                    .columns()
-                    .iter()
-                    .enumerate()
-                    .map(|(i, col)| {
-                        let target_type = output_schema.field(i).data_type();
-                        if col.data_type() == target_type {
-                            Ok(col.clone())
-                        } else {
-                            arrow_cast::cast(col, target_type).map_err(Error::from)
-                        }
-                    })
-                    .collect::<Result<_>>()?;
-                let result = RecordBatch::try_new(output_schema, columns)?;
-                Ok(result)
-            }
-        });
-
-        Box::pin(SimpleRecordBatchStream {
-            schema: stream_schema,
-            stream: mapped_stream,
-        })
-    }
-
-    fn num_rows(&self) -> Option<usize> {
-        self.inner.num_rows()
-    }
-
-    fn rescannable(&self) -> bool {
-        self.inner.rescannable()
-    }
-}
-
-pub fn scannable_with_embeddings(
-    inner: Box<dyn Scannable>,
-    table_definition: &TableDefinition,
-    registry: Option<&Arc<dyn EmbeddingRegistry>>,
-) -> Result<Box<dyn Scannable>> {
-    if let Some(registry) = registry {
-        let mut embeddings = Vec::with_capacity(table_definition.column_definitions.len());
-        for cd in table_definition.column_definitions.iter() {
-            if let ColumnKind::Embedding(embedding_def) = &cd.kind {
-                match registry.get(&embedding_def.embedding_name) {
-                    Some(func) => {
-                        embeddings.push((embedding_def.clone(), func));
-                    }
-                    None => {
-                        return Err(Error::EmbeddingFunctionNotFound {
-                            name: embedding_def.embedding_name.clone(),
-                            reason: format!(
-                                "Table was defined with an embedding column `{}` but no embedding function was found with that name within the registry.",
-                                embedding_def.embedding_name
-                            ),
-                        });
-                    }
-                }
-            }
-        }
-
-        if !embeddings.is_empty() {
-            // Use the table's schema so embedding column types (including nested
-            // nullability) match what's stored, avoiding mismatches with the
-            // embedding function's declared dest_type.
-            return Ok(Box::new(WithEmbeddingsScannable::with_schema(
-                inner,
-                embeddings,
-                table_definition.schema.clone(),
-            )?));
-        }
-    }
-
-    Ok(inner)
-}
-
-/// A wrapper that buffers the first RecordBatch from a Scannable so we can
-/// inspect it (e.g. to estimate data size) without losing it.
-pub(crate) struct PeekedScannable {
-    inner: Box<dyn Scannable>,
-    peeked: Option<RecordBatch>,
-    /// The first item from the stream, if it was an error. Stored so we can
-    /// re-emit it from `scan_as_stream` instead of silently dropping it.
-    first_error: Option<crate::Error>,
-    stream: Option<SendableRecordBatchStream>,
-}
-
-impl PeekedScannable {
-    pub fn new(inner: Box<dyn Scannable>) -> Self {
-        Self {
-            inner,
-            peeked: None,
-            first_error: None,
-            stream: None,
-        }
-    }
-
-    /// Reads and buffers the first batch from the inner scannable.
-    /// Returns a clone of it. Subsequent calls return the same batch.
-    ///
-    /// Returns `None` if the stream is empty or the first item is an error.
-    /// Errors are preserved and re-emitted by `scan_as_stream`.
-    pub async fn peek(&mut self) -> Option<RecordBatch> {
-        if self.peeked.is_some() {
-            return self.peeked.clone();
-        }
-        // Already peeked and got an error or empty stream.
-        if self.stream.is_some() || self.first_error.is_some() {
-            return None;
-        }
-        let mut stream = self.inner.scan_as_stream();
-        match stream.next().await {
-            Some(Ok(batch)) => {
-                self.peeked = Some(batch.clone());
-                self.stream = Some(stream);
-                Some(batch)
-            }
-            Some(Err(e)) => {
-                self.first_error = Some(e);
-                self.stream = Some(stream);
-                None
-            }
-            None => {
-                self.stream = Some(stream);
-                None
-            }
-        }
-    }
-}
-
-impl Scannable for PeekedScannable {
-    fn schema(&self) -> SchemaRef {
-        self.inner.schema()
-    }
-
-    fn num_rows(&self) -> Option<usize> {
-        self.inner.num_rows()
-    }
-
-    fn rescannable(&self) -> bool {
-        self.inner.rescannable()
-    }
-
-    fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
-        let schema = self.inner.schema();
-
-        // If peek() hit an error, prepend it so downstream sees the error.
-        let error_item = self.first_error.take().map(Err);
-
-        match (self.peeked.take(), self.stream.take()) {
-            (Some(batch), Some(rest)) => {
-                let prepend = futures::stream::once(std::future::ready(Ok(batch)));
-                Box::pin(SimpleRecordBatchStream {
-                    schema,
-                    stream: prepend.chain(rest),
-                })
-            }
-            (Some(batch), None) => Box::pin(SimpleRecordBatchStream {
-                schema,
-                stream: futures::stream::once(std::future::ready(Ok(batch))),
-            }),
-            (None, Some(rest)) => {
-                if let Some(err) = error_item {
-                    let stream = futures::stream::once(std::future::ready(err));
-                    Box::pin(SimpleRecordBatchStream { schema, stream })
-                } else {
-                    rest
-                }
-            }
-            (None, None) => {
-                // peek() was never called — just delegate
-                self.inner.scan_as_stream()
-            }
-        }
-    }
-}
-
-/// Compute the number of write partitions based on data size estimates.
-///
-/// `sample_bytes` and `sample_rows` come from a representative batch and are
-/// used to estimate per-row size. `total_rows_hint` is the total row count
-/// when known; otherwise `sample_rows` row count is used as a lower bound
-/// estimate.
-///
-/// Targets roughly 1 million rows or 2 GB per partition, capped at
-/// `max_partitions` (typically the number of available CPU cores).
-pub(crate) fn estimate_write_partitions(
-    sample_bytes: usize,
-    sample_rows: usize,
-    total_rows_hint: Option<usize>,
-    max_partitions: usize,
-) -> usize {
-    if sample_rows == 0 {
-        return 1;
-    }
-    let bytes_per_row = sample_bytes / sample_rows;
-    let total_rows = total_rows_hint.unwrap_or(sample_rows);
-    let total_bytes = total_rows * bytes_per_row;
-    let by_rows = total_rows.div_ceil(1_000_000);
-    let by_bytes = total_bytes.div_ceil(2 * 1024 * 1024 * 1024);
-    by_rows.max(by_bytes).max(1).min(max_partitions)
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-    use arrow_array::record_batch;
-    use futures::TryStreamExt;
-
-    #[tokio::test]
-    async fn test_record_batch_rescannable() {
-        let mut batch = record_batch!(("id", Int64, [0, 1, 2])).unwrap();
-
-        let stream1 = batch.scan_as_stream();
-        let batches1: Vec<RecordBatch> = stream1.try_collect().await.unwrap();
-        assert_eq!(batches1.len(), 1);
-        assert_eq!(batches1[0], batch);
-
-        assert!(batch.rescannable());
-        let stream2 = batch.scan_as_stream();
-        let batches2: Vec<RecordBatch> = stream2.try_collect().await.unwrap();
-        assert_eq!(batches2.len(), 1);
-        assert_eq!(batches2[0], batch);
-    }
-
-    #[tokio::test]
-    async fn test_vec_batch_rescannable() {
-        let mut batches = vec![
-            record_batch!(("id", Int64, [0, 1])).unwrap(),
-            record_batch!(("id", Int64, [2, 3, 4])).unwrap(),
-        ];
-
-        let stream1 = batches.scan_as_stream();
-        let result1: Vec<RecordBatch> = stream1.try_collect().await.unwrap();
-        assert_eq!(result1.len(), 2);
-        assert_eq!(result1[0], batches[0]);
-        assert_eq!(result1[1], batches[1]);
-
-        assert!(batches.rescannable());
-        let stream2 = batches.scan_as_stream();
-        let result2: Vec<RecordBatch> = stream2.try_collect().await.unwrap();
-        assert_eq!(result2.len(), 2);
-        assert_eq!(result2[0], batches[0]);
-        assert_eq!(result2[1], batches[1]);
-    }
-
-    #[tokio::test]
-    async fn test_vec_batch_empty_errors() {
-        let mut empty: Vec<RecordBatch> = vec![];
-        let mut stream = empty.scan_as_stream();
-        let result = stream.next().await;
-        assert!(result.is_some());
-        assert!(result.unwrap().is_err());
-    }
-
-    #[tokio::test]
-    async fn test_reader_not_rescannable() {
-        let batch = record_batch!(("id", Int64, [0, 1, 2])).unwrap();
-        let schema = batch.schema();
-        let mut reader: Box<dyn arrow_array::RecordBatchReader + Send> = Box::new(
-            RecordBatchIterator::new(vec![Ok(batch.clone())], schema.clone()),
-        );
-
-        let stream1 = reader.scan_as_stream();
-        let result1: Vec<RecordBatch> = stream1.try_collect().await.unwrap();
-        assert_eq!(result1.len(), 1);
-        assert_eq!(result1[0], batch);
-
-        assert!(!reader.rescannable());
-        // Second call returns a stream whose first item is an error
-        let mut stream2 = reader.scan_as_stream();
-        let result2 = stream2.next().await;
-        assert!(result2.is_some());
-        assert!(result2.unwrap().is_err());
-    }
-
-    #[tokio::test]
-    async fn test_stream_not_rescannable() {
-        let batch = record_batch!(("id", Int64, [0, 1, 2])).unwrap();
-        let schema = batch.schema();
-        let inner_stream = futures::stream::iter(vec![Ok(batch.clone())]);
-        let mut stream: SendableRecordBatchStream = Box::pin(SimpleRecordBatchStream {
-            schema: schema.clone(),
-            stream: inner_stream,
-        });
-
-        let stream1 = stream.scan_as_stream();
-        let result1: Vec<RecordBatch> = stream1.try_collect().await.unwrap();
-        assert_eq!(result1.len(), 1);
-        assert_eq!(result1[0], batch);
-
-        assert!(!stream.rescannable());
-        // Second call returns a stream whose first item is an error
-        let mut stream2 = stream.scan_as_stream();
-        let result2 = stream2.next().await;
-        assert!(result2.is_some());
-        assert!(result2.unwrap().is_err());
-    }
-
-    mod peeked_scannable_tests {
-        use crate::test_utils::TestCustomError;
-
-        use super::*;
-
-        #[tokio::test]
-        async fn test_peek_returns_first_batch() {
-            let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-            let mut peeked = PeekedScannable::new(Box::new(batch.clone()));
-
-            let first = peeked.peek().await.unwrap();
-            assert_eq!(first, batch);
-        }
-
-        #[tokio::test]
-        async fn test_peek_is_idempotent() {
-            let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-            let mut peeked = PeekedScannable::new(Box::new(batch.clone()));
-
-            let first = peeked.peek().await.unwrap();
-            let second = peeked.peek().await.unwrap();
-            assert_eq!(first, second);
-        }
-
-        #[tokio::test]
-        async fn test_scan_after_peek_returns_all_data() {
-            let batches = vec![
-                record_batch!(("id", Int64, [1, 2])).unwrap(),
-                record_batch!(("id", Int64, [3, 4, 5])).unwrap(),
-            ];
-            let mut peeked = PeekedScannable::new(Box::new(batches.clone()));
-
-            let first = peeked.peek().await.unwrap();
-            assert_eq!(first, batches[0]);
-
-            let result: Vec<RecordBatch> = peeked.scan_as_stream().try_collect().await.unwrap();
-            assert_eq!(result.len(), 2);
-            assert_eq!(result[0], batches[0]);
-            assert_eq!(result[1], batches[1]);
-        }
-
-        #[tokio::test]
-        async fn test_scan_without_peek_passes_through() {
-            let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-            let mut peeked = PeekedScannable::new(Box::new(batch.clone()));
-
-            let result: Vec<RecordBatch> = peeked.scan_as_stream().try_collect().await.unwrap();
-            assert_eq!(result.len(), 1);
-            assert_eq!(result[0], batch);
-        }
-
-        #[tokio::test]
-        async fn test_delegates_num_rows() {
-            let batches = vec![
-                record_batch!(("id", Int64, [1, 2])).unwrap(),
-                record_batch!(("id", Int64, [3])).unwrap(),
-            ];
-            let peeked = PeekedScannable::new(Box::new(batches));
-            assert_eq!(peeked.num_rows(), Some(3));
-        }
-
-        #[tokio::test]
-        async fn test_non_rescannable_stream_data_preserved() {
-            let batches = vec![
-                record_batch!(("id", Int64, [1, 2])).unwrap(),
-                record_batch!(("id", Int64, [3])).unwrap(),
-            ];
-            let schema = batches[0].schema();
-            let inner = futures::stream::iter(batches.clone().into_iter().map(Ok));
-            let stream: SendableRecordBatchStream = Box::pin(SimpleRecordBatchStream {
-                schema,
-                stream: inner,
-            });
-
-            let mut peeked = PeekedScannable::new(Box::new(stream));
-            assert!(!peeked.rescannable());
-            assert_eq!(peeked.num_rows(), None);
-
-            let first = peeked.peek().await.unwrap();
-            assert_eq!(first, batches[0]);
-
-            // All data is still available via scan_as_stream
-            let result: Vec<RecordBatch> = peeked.scan_as_stream().try_collect().await.unwrap();
-            assert_eq!(result.len(), 2);
-            assert_eq!(result[0], batches[0]);
-            assert_eq!(result[1], batches[1]);
-        }
-
-        #[tokio::test]
-        async fn test_error_in_first_batch_propagates() {
-            let schema = Arc::new(arrow_schema::Schema::new(vec![arrow_schema::Field::new(
-                "id",
-                arrow_schema::DataType::Int64,
-                false,
-            )]));
-            let inner = futures::stream::iter(vec![Err(Error::External {
-                source: Box::new(TestCustomError),
-            })]);
-            let stream: SendableRecordBatchStream = Box::pin(SimpleRecordBatchStream {
-                schema,
-                stream: inner,
-            });
-
-            let mut peeked = PeekedScannable::new(Box::new(stream));
-
-            // peek returns None for errors
-            assert!(peeked.peek().await.is_none());
-
-            // But the error should come through when scanning
-            let mut stream = peeked.scan_as_stream();
-            let first = stream.next().await.unwrap();
-            assert!(first.is_err());
-            let err = first.unwrap_err();
-            assert!(
-                matches!(&err, Error::External { source } if source.downcast_ref::<TestCustomError>().is_some()),
-                "Expected TestCustomError to be preserved, got: {err}"
-            );
-        }
-
-        #[tokio::test]
-        async fn test_error_in_later_batch_propagates() {
-            let good_batch = record_batch!(("id", Int64, [1, 2])).unwrap();
-            let schema = good_batch.schema();
-            let inner = futures::stream::iter(vec![
-                Ok(good_batch.clone()),
-                Err(Error::External {
-                    source: Box::new(TestCustomError),
-                }),
-            ]);
-            let stream: SendableRecordBatchStream = Box::pin(SimpleRecordBatchStream {
-                schema,
-                stream: inner,
-            });
-
-            let mut peeked = PeekedScannable::new(Box::new(stream));
-
-            // peek succeeds with the first batch
-            let first = peeked.peek().await.unwrap();
-            assert_eq!(first, good_batch);
-
-            // scan_as_stream should yield the first batch, then the error
-            let mut stream = peeked.scan_as_stream();
-            let batch1 = stream.next().await.unwrap().unwrap();
-            assert_eq!(batch1, good_batch);
-
-            let batch2 = stream.next().await.unwrap();
-            assert!(batch2.is_err());
-            let err = batch2.unwrap_err();
-            assert!(
-                matches!(&err, Error::External { source } if source.downcast_ref::<TestCustomError>().is_some()),
-                "Expected TestCustomError to be preserved, got: {err}"
-            );
-        }
-
-        #[tokio::test]
-        async fn test_empty_stream_returns_none() {
-            let schema = Arc::new(arrow_schema::Schema::new(vec![arrow_schema::Field::new(
-                "id",
-                arrow_schema::DataType::Int64,
-                false,
-            )]));
-            let inner = futures::stream::empty();
-            let stream: SendableRecordBatchStream = Box::pin(SimpleRecordBatchStream {
-                schema,
-                stream: inner,
-            });
-
-            let mut peeked = PeekedScannable::new(Box::new(stream));
-            assert!(peeked.peek().await.is_none());
-
-            // Scanning an empty (post-peek) stream should yield nothing
-            let result: Vec<RecordBatch> = peeked.scan_as_stream().try_collect().await.unwrap();
-            assert!(result.is_empty());
-        }
-    }
-
-    mod estimate_write_partitions_tests {
-        use super::*;
-
-        #[test]
-        fn test_small_data_single_partition() {
-            // 100 rows * 24 bytes/row = 2400 bytes — well under both thresholds
-            assert_eq!(estimate_write_partitions(2400, 100, Some(100), 8), 1);
-        }
-
-        #[test]
-        fn test_scales_by_row_count() {
-            // 2.5M rows at 24 bytes/row — row threshold dominates
-            // ceil(2_500_000 / 1_000_000) = 3
-            assert_eq!(estimate_write_partitions(72, 3, Some(2_500_000), 8), 3);
-        }
-
-        #[test]
-        fn test_scales_by_byte_size() {
-            // 100k rows at 40KB/row = ~4GB total → ceil(4GB / 2GB) = 2
-            let sample_bytes = 40_000 * 10;
-            assert_eq!(
-                estimate_write_partitions(sample_bytes, 10, Some(100_000), 8),
-                2
-            );
-        }
-
-        #[test]
-        fn test_capped_at_max_partitions() {
-            // 10M rows would want 10 partitions, but capped at 4
-            assert_eq!(estimate_write_partitions(72, 3, Some(10_000_000), 4), 4);
-        }
-
-        #[test]
-        fn test_zero_sample_rows_returns_one() {
-            assert_eq!(estimate_write_partitions(0, 0, Some(1_000_000), 8), 1);
-        }
-
-        #[test]
-        fn test_no_row_hint_uses_sample_size() {
-            // Without a hint, uses sample_rows (3), which is small
-            assert_eq!(estimate_write_partitions(72, 3, None, 8), 1);
-        }
-
-        #[test]
-        fn test_always_at_least_one() {
-            assert_eq!(estimate_write_partitions(24, 1, Some(1), 8), 1);
-        }
-    }
-
-    mod embedding_tests {
-        use super::*;
-        use crate::embeddings::MemoryRegistry;
-        use crate::table::{ColumnDefinition, ColumnKind};
-        use crate::test_utils::embeddings::MockEmbed;
-        use arrow_array::Array as _;
-        use arrow_array::{ArrayRef, StringArray};
-        use arrow_schema::{DataType, Field, Schema};
-
-        #[tokio::test]
-        async fn test_with_embeddings_scannable() {
-            let schema = Arc::new(Schema::new(vec![Field::new("text", DataType::Utf8, false)]));
-            let text_array = StringArray::from(vec!["hello", "world", "test"]);
-            let batch =
-                RecordBatch::try_new(schema.clone(), vec![Arc::new(text_array) as ArrayRef])
-                    .unwrap();
-
-            let mock_embedding: Arc<dyn EmbeddingFunction> = Arc::new(MockEmbed::new("mock", 4));
-            let embedding_def = EmbeddingDefinition::new("text", "mock", Some("text_embedding"));
-
-            let mut scannable = WithEmbeddingsScannable::try_new(
-                Box::new(batch.clone()),
-                vec![(embedding_def, mock_embedding)],
-            )
-            .unwrap();
-
-            // Check that schema has the embedding column
-            let output_schema = scannable.schema();
-            assert_eq!(output_schema.fields().len(), 2);
-            assert_eq!(output_schema.field(0).name(), "text");
-            assert_eq!(output_schema.field(1).name(), "text_embedding");
-
-            // Check num_rows and rescannable are preserved
-            assert_eq!(scannable.num_rows(), Some(3));
-            assert!(scannable.rescannable());
-
-            // Read the data
-            let stream = scannable.scan_as_stream();
-            let results: Vec<RecordBatch> = stream.try_collect().await.unwrap();
-            assert_eq!(results.len(), 1);
-
-            let result_batch = &results[0];
-            assert_eq!(result_batch.num_rows(), 3);
-            assert_eq!(result_batch.num_columns(), 2);
-
-            // Verify the embedding column is present and has the right shape
-            let embedding_col = result_batch.column(1);
-            assert_eq!(embedding_col.len(), 3);
-        }
-
-        #[tokio::test]
-        async fn test_maybe_embedded_scannable_no_embeddings() {
-            let batch = record_batch!(("id", Int64, [1, 2, 3])).unwrap();
-
-            // Create a table definition with no embedding columns
-            let table_def = TableDefinition::new_from_schema(batch.schema());
-
-            // Even with a registry, if there are no embedding columns, it's a passthrough
-            let registry: Arc<dyn EmbeddingRegistry> = Arc::new(MemoryRegistry::new());
-            let mut scannable =
-                scannable_with_embeddings(Box::new(batch.clone()), &table_def, Some(&registry))
-                    .unwrap();
-
-            // Check that data passes through unchanged
-            let stream = scannable.scan_as_stream();
-            let results: Vec<RecordBatch> = stream.try_collect().await.unwrap();
-            assert_eq!(results.len(), 1);
-            assert_eq!(results[0], batch);
-        }
-
-        #[tokio::test]
-        async fn test_maybe_embedded_scannable_with_embeddings() {
-            let schema = Arc::new(Schema::new(vec![Field::new("text", DataType::Utf8, false)]));
-            let text_array = StringArray::from(vec!["hello", "world"]);
-            let batch =
-                RecordBatch::try_new(schema.clone(), vec![Arc::new(text_array) as ArrayRef])
-                    .unwrap();
-
-            // Create a table definition with an embedding column
-            let embedding_def = EmbeddingDefinition::new("text", "mock", Some("text_embedding"));
-            let embedding_schema = Arc::new(Schema::new(vec![
-                Field::new("text", DataType::Utf8, false),
-                Field::new(
-                    "text_embedding",
-                    DataType::FixedSizeList(
-                        Arc::new(Field::new("item", DataType::Float32, true)),
-                        4,
-                    ),
-                    false,
-                ),
-            ]));
-            let table_def = TableDefinition::new(
-                embedding_schema,
-                vec![
-                    ColumnDefinition {
-                        kind: ColumnKind::Physical,
-                    },
-                    ColumnDefinition {
-                        kind: ColumnKind::Embedding(embedding_def.clone()),
-                    },
-                ],
-            );
-
-            // Register the mock embedding function
-            let registry: Arc<dyn EmbeddingRegistry> = Arc::new(MemoryRegistry::new());
-            let mock_embedding: Arc<dyn EmbeddingFunction> = Arc::new(MockEmbed::new("mock", 4));
-            registry.register("mock", mock_embedding).unwrap();
-
-            let mut scannable =
-                scannable_with_embeddings(Box::new(batch), &table_def, Some(&registry)).unwrap();
-
-            // Read and verify the data has embeddings
-            let stream = scannable.scan_as_stream();
-            let results: Vec<RecordBatch> = stream.try_collect().await.unwrap();
-            assert_eq!(results.len(), 1);
-
-            let result_batch = &results[0];
-            assert_eq!(result_batch.num_columns(), 2);
-            assert_eq!(result_batch.schema().field(1).name(), "text_embedding");
-        }
-
-        #[tokio::test]
-        async fn test_maybe_embedded_scannable_missing_function() {
-            let schema = Arc::new(Schema::new(vec![Field::new("text", DataType::Utf8, false)]));
-            let text_array = StringArray::from(vec!["hello"]);
-            let batch =
-                RecordBatch::try_new(schema.clone(), vec![Arc::new(text_array) as ArrayRef])
-                    .unwrap();
-
-            // Create a table definition with an embedding column
-            let embedding_def =
-                EmbeddingDefinition::new("text", "nonexistent", Some("text_embedding"));
-            let embedding_schema = Arc::new(Schema::new(vec![
-                Field::new("text", DataType::Utf8, false),
-                Field::new(
-                    "text_embedding",
-                    DataType::FixedSizeList(
-                        Arc::new(Field::new("item", DataType::Float32, true)),
-                        4,
-                    ),
-                    false,
-                ),
-            ]));
-            let table_def = TableDefinition::new(
-                embedding_schema,
-                vec![
-                    ColumnDefinition {
-                        kind: ColumnKind::Physical,
-                    },
-                    ColumnDefinition {
-                        kind: ColumnKind::Embedding(embedding_def),
-                    },
-                ],
-            );
-
-            // Registry has no embedding functions registered
-            let registry: Arc<dyn EmbeddingRegistry> = Arc::new(MemoryRegistry::new());
-
-            let result = scannable_with_embeddings(Box::new(batch), &table_def, Some(&registry));
-
-            // Should fail because the embedding function is not found
-            assert!(result.is_err());
-            let err = result.err().unwrap();
-            assert!(
-                matches!(err, Error::EmbeddingFunctionNotFound { .. }),
-                "Expected EmbeddingFunctionNotFound"
-            );
-        }
-    }
-}
--- a/rust/lancedb/src/database.rs
+++ b/rust/lancedb/src/database.rs
@@ -18,7 +18,12 @@ use std::collections::HashMap;
 use std::sync::Arc;
 use std::time::Duration;

+use arrow_array::RecordBatchReader;
+use async_trait::async_trait;
+use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
+use futures::stream;
 use lance::dataset::ReadParams;
+use lance_datafusion::utils::StreamingWriteSource;
 use lance_namespace::models::{
    CreateNamespaceRequest, CreateNamespaceResponse, DescribeNamespaceRequest,
    DescribeNamespaceResponse, DropNamespaceRequest, DropNamespaceResponse, ListNamespacesRequest,
@@ -26,9 +31,9 @@ use lance_namespace::models::{
 };
 use lance_namespace::LanceNamespace;

-use crate::data::scannable::Scannable;
+use crate::arrow::{SendableRecordBatchStream, SendableRecordBatchStreamExt};
 use crate::error::Result;
-use crate::table::{BaseTable, WriteOptions};
+use crate::table::{BaseTable, TableDefinition, WriteOptions};

 pub mod listing;
 pub mod namespace;
@@ -85,10 +90,8 @@ pub type TableBuilderCallback = Box<dyn FnOnce(OpenTableRequest) -> OpenTableReq

 /// Describes what happens when creating a table and a table with
 /// the same name already exists
-#[derive(Default)]
 pub enum CreateTableMode {
    /// If the table already exists, an error is returned
-    #[default]
    Create,
    /// If the table already exists, it is opened.  Any provided data is
    /// ignored.  The function will be passed an OpenTableBuilder to customize
@@ -106,14 +109,57 @@ impl CreateTableMode {
    }
 }

+impl Default for CreateTableMode {
+    fn default() -> Self {
+        Self::Create
+    }
+}
+
+/// The data to start a table or a schema to create an empty table
+pub enum CreateTableData {
+    /// Creates a table using an iterator of data, the schema will be obtained from the data
+    Data(Box<dyn RecordBatchReader + Send>),
+    /// Creates a table using a stream of data, the schema will be obtained from the data
+    StreamingData(SendableRecordBatchStream),
+    /// Creates an empty table, the definition / schema must be provided separately
+    Empty(TableDefinition),
+}
+
+impl CreateTableData {
+    pub fn schema(&self) -> Arc<arrow_schema::Schema> {
+        match self {
+            Self::Data(reader) => reader.schema(),
+            Self::StreamingData(stream) => stream.schema(),
+            Self::Empty(definition) => definition.schema.clone(),
+        }
+    }
+}
+
+#[async_trait]
+impl StreamingWriteSource for CreateTableData {
+    fn arrow_schema(&self) -> Arc<arrow_schema::Schema> {
+        self.schema()
+    }
+    fn into_stream(self) -> datafusion_physical_plan::SendableRecordBatchStream {
+        match self {
+            Self::Data(reader) => reader.into_stream(),
+            Self::StreamingData(stream) => stream.into_df_stream(),
+            Self::Empty(table_definition) => {
+                let schema = table_definition.schema.clone();
+                Box::pin(RecordBatchStreamAdapter::new(schema, stream::empty()))
+            }
+        }
+    }
+}
+
 /// A request to create a table
 pub struct CreateTableRequest {
    /// The name of the new table
    pub name: String,
    /// The namespace to create the table in. Empty list represents root namespace.
    pub namespace: Vec<String>,
-    /// Initial data to write to the table, can be empty.
-    pub data: Box<dyn Scannable>,
+    /// Initial data to write to the table, can be None to create an empty table
+    pub data: CreateTableData,
    /// The mode to use when creating the table
    pub mode: CreateTableMode,
    /// Options to use when writing data (only used if `data` is not None)
@@ -127,7 +173,7 @@ pub struct CreateTableRequest {
 }

 impl CreateTableRequest {
-    pub fn new(name: String, data: Box<dyn Scannable>) -> Self {
+    pub fn new(name: String, data: CreateTableData) -> Self {
        Self {
            name,
            namespace: vec![],
--- a/Show More
+++ b/Show More