Bump version: 0.21.2-beta.0 → 0.21.2-beta.1

.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.21.2-beta.0"
+current_version = "0.18.2-beta.0"
 parse = """(?x)
     (?P<major>0|[1-9]\\d*)\\.
     (?P<minor>0|[1-9]\\d*)\\.

.github/workflows/docs.yml

@@ -18,24 +18,17 @@ concurrency:
   group: "pages"
   cancel-in-progress: true
 
-env:
-  # This reduces the disk space needed for the build
-  RUSTFLAGS: "-C debuginfo=0"
-  # according to: https://matklad.github.io/2021/09/04/fast-rust-builds.html
-  # CI builds are faster with incremental disabled.
-  CARGO_INCREMENTAL: "0"
-
 jobs:
   # Single deploy job since we're just deploying
   build:
     environment:
       name: github-pages
       url: ${{ steps.deployment.outputs.page_url }}
-    runs-on: ubuntu-24.04
+    runs-on: buildjet-8vcpu-ubuntu-2204
     steps:
       - name: Checkout
         uses: actions/checkout@v4
-      - name: Install dependencies needed for ubuntu
+      - name: Install dependecies needed for ubuntu
         run: |
           sudo apt install -y protobuf-compiler libssl-dev
           rustup update && rustup default
@@ -45,7 +38,6 @@ jobs:
           python-version: "3.10"
           cache: "pip"
           cache-dependency-path: "docs/requirements.txt"
-      - uses: Swatinem/rust-cache@v2
       - name: Build Python
         working-directory: python
         run: |
@@ -57,6 +49,7 @@ jobs:
           node-version: 20
           cache: 'npm'
           cache-dependency-path: node/package-lock.json
+      - uses: Swatinem/rust-cache@v2
       - name: Install node dependencies
         working-directory: node
         run: |

.github/workflows/java-publish.yml

@@ -43,7 +43,7 @@ jobs:
       - uses: Swatinem/rust-cache@v2
       - uses: actions-rust-lang/setup-rust-toolchain@v1
         with:
-          toolchain: "1.81.0"
+          toolchain: "1.79.0"
           cache-workspaces: "./java/core/lancedb-jni"
           # Disable full debug symbol generation to speed up CI build and keep memory down
           # "1" means line tables only, which is useful for panic tracebacks.
@@ -97,7 +97,7 @@ jobs:
       - name: Dry run
         if: github.event_name == 'pull_request'
         run: |
-          mvn --batch-mode -DskipTests -Drust.release.build=true package
+          mvn --batch-mode -DskipTests package
       - name: Set github
         run: |
           git config --global user.email "LanceDB Github Runner"
@@ -108,7 +108,7 @@ jobs:
           echo "use-agent" >> ~/.gnupg/gpg.conf
           echo "pinentry-mode loopback" >> ~/.gnupg/gpg.conf
           export GPG_TTY=$(tty)
-          mvn --batch-mode -DskipTests -Drust.release.build=true -DpushChanges=false -Dgpg.passphrase=${{ secrets.GPG_PASSPHRASE }} deploy -P deploy-to-ossrh
+          mvn --batch-mode -DskipTests -DpushChanges=false -Dgpg.passphrase=${{ secrets.GPG_PASSPHRASE }} deploy -P deploy-to-ossrh
         env:
           SONATYPE_USER: ${{ secrets.SONATYPE_USER }}
           SONATYPE_TOKEN: ${{ secrets.SONATYPE_TOKEN }}

.github/workflows/java.yml

@@ -35,9 +35,6 @@ jobs:
       - uses: Swatinem/rust-cache@v2
         with:
           workspaces: java/core/lancedb-jni
-      - uses: actions-rust-lang/setup-rust-toolchain@v1
-        with:
-          components: rustfmt
       - name: Run cargo fmt
         run: cargo fmt --check
         working-directory: ./java/core/lancedb-jni
@@ -71,9 +68,6 @@ jobs:
       - uses: Swatinem/rust-cache@v2
         with:
           workspaces: java/core/lancedb-jni
-      - uses: actions-rust-lang/setup-rust-toolchain@v1
-        with:
-          components: rustfmt
       - name: Run cargo fmt
         run: cargo fmt --check
         working-directory: ./java/core/lancedb-jni
@@ -116,3 +110,4 @@ jobs:
           -Djdk.reflect.useDirectMethodHandle=false \
           -Dio.netty.tryReflectionSetAccessible=true"
           JAVA_HOME=$JAVA_17 mvn clean test
+  

.github/workflows/make-release-commit.yml

@@ -84,7 +84,6 @@ jobs:
         run: |
           pip install bump-my-version PyGithub packaging
           bash ci/bump_version.sh ${{ inputs.type }} ${{ inputs.bump-minor }} v $COMMIT_BEFORE_BUMP
-          bash ci/update_lockfiles.sh --amend
       - name: Push new version tag
         if: ${{ !inputs.dry_run }}
         uses: ad-m/github-push-action@master
@@ -93,3 +92,11 @@ jobs:
           github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
           branch: ${{ github.ref }}
           tags: true
+      - uses: ./.github/workflows/update_package_lock
+        if: ${{ !inputs.dry_run && inputs.other }}
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+      - uses: ./.github/workflows/update_package_lock_nodejs
+        if: ${{ !inputs.dry_run && inputs.other }}
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/nodejs.yml

@@ -47,9 +47,6 @@ jobs:
       run: |
         sudo apt update
         sudo apt install -y protobuf-compiler libssl-dev
-    - uses: actions-rust-lang/setup-rust-toolchain@v1
-      with:
-        components: rustfmt, clippy
     - name: Lint
       run: |
         cargo fmt --all -- --check
@@ -116,7 +113,7 @@ jobs:
         set -e
         npm ci
         npm run docs
-        if ! git diff --exit-code -- . ':(exclude)Cargo.lock'; then
+        if ! git diff --exit-code; then
           echo "Docs need to be updated"
           echo "Run 'npm run docs', fix any warnings, and commit the changes."
           exit 1

.github/workflows/npm-publish.yml

@@ -18,7 +18,6 @@ on:
     # This should trigger a dry run (we skip the final publish step)
     paths:
       - .github/workflows/npm-publish.yml
-      - Cargo.toml # Change in dependency frequently breaks builds
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
@@ -131,24 +130,29 @@ jobs:
               set -e &&
               apt-get update &&
               apt-get install -y protobuf-compiler pkg-config
-          - 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 &&
-              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++
+
+          # TODO: re-enable x64 musl builds. I could not figure out why, but it
+          # consistently made GHA runners non-responsive at the end of build. Example:
+          # https://github.com/lancedb/lancedb/actions/runs/13980431071/job/39144319470?pr=2250
+
+          # - 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: ","
+          #   pre_build: |-
+          #     set -e &&
+          #     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
+
           - target: aarch64-unknown-linux-gnu
             host: ubuntu-2404-8x-x64
             # https://github.com/napi-rs/napi-rs/blob/main/debian-aarch64.Dockerfile
             docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-debian-aarch64
-            features: "fp16kernels"
+            # TODO: enable fp16kernels after https://github.com/lancedb/lance/pull/3559
+            features: ","
             pre_build: |-
               set -e &&
               apt-get update &&
@@ -166,8 +170,8 @@ jobs:
               set -e &&
               apk add protobuf-dev &&
               rustup target add aarch64-unknown-linux-musl &&
-              export CC_aarch64_unknown_linux_musl=aarch64-linux-musl-gcc &&
-              export CXX_aarch64_unknown_linux_musl=aarch64-linux-musl-g++
+              export CC="/aarch64-linux-musl-cross/bin/aarch64-linux-musl-gcc" &&
+              export CXX="/aarch64-linux-musl-cross/bin/aarch64-linux-musl-g++"
     name: build - ${{ matrix.settings.target }}
     runs-on: ${{ matrix.settings.host }}
     defaults:
@@ -505,8 +509,6 @@ jobs:
     name: vectordb NPM Publish
     needs: [node, node-macos, node-linux-gnu, node-windows]
     runs-on: ubuntu-latest
-    permissions:
-      contents: write
     # Only runs on tags that matches the make-release action
     if: startsWith(github.ref, 'refs/tags/v')
     steps:
@@ -533,26 +535,6 @@ jobs:
           for filename in *.tgz; do
             npm publish $PUBLISH_ARGS $filename
           done
-      - name: Deprecate
-        env:
-          NODE_AUTH_TOKEN: ${{ secrets.LANCEDB_NPM_REGISTRY_TOKEN }}
-        # We need to deprecate the old package to avoid confusion.
-        # Each time we publish a new version, it gets undeprecated.
-        run: npm deprecate vectordb "Use @lancedb/lancedb instead."
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          ref: main
-      - name: Update package-lock.json
-        run: |
-          git config user.name 'Lance Release'
-          git config user.email 'lance-dev@lancedb.com'
-          bash ci/update_lockfiles.sh
-      - name: Push new commit
-        uses: ad-m/github-push-action@master
-        with:
-          github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
-          branch: main
       - name: Notify Slack Action
         uses: ravsamhq/notify-slack-action@2.3.0
         if: ${{ always() }}
@@ -562,3 +544,21 @@ jobs:
           notification_title: "{workflow} is failing"
         env:
           SLACK_WEBHOOK_URL: ${{ secrets.ACTION_MONITORING_SLACK }}
+
+  update-package-lock:
+    if: startsWith(github.ref, 'refs/tags/v')
+    needs: [release]
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          ref: main
+          token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
+          fetch-depth: 0
+          lfs: true
+      - uses: ./.github/workflows/update_package_lock
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/pypi-publish.yml

@@ -8,7 +8,6 @@ on:
     # This should trigger a dry run (we skip the final publish step)
     paths:
       - .github/workflows/pypi-publish.yml
-      - Cargo.toml # Change in dependency frequently breaks builds
 
 jobs:
   linux:

.github/workflows/python.yml

@@ -136,9 +136,9 @@ jobs:
       - uses: ./.github/workflows/run_tests
         with:
           integration: true
-      - name: Test without pylance or pandas
+      - name: Test without pylance
         run: |
-          pip uninstall -y pylance pandas
+          pip uninstall -y pylance
           pytest -vv python/tests/test_table.py
       # Make sure wheels are not included in the Rust cache
       - name: Delete wheels
@@ -228,7 +228,6 @@ jobs:
       - name: Install lancedb
         run: |
           pip install "pydantic<2"
-          pip install pyarrow==16
           pip install --extra-index-url https://pypi.fury.io/lancedb/ -e .[tests]
           pip install tantivy
       - name: Run tests

.github/workflows/run_tests/action.yml

@@ -24,8 +24,8 @@ runs:
     - name: pytest (with integration)
       shell: bash
       if: ${{ inputs.integration == 'true' }}
-      run: pytest -m "not slow" -vv --durations=30 python/python/tests
+      run: pytest -m "not slow" -x -v --durations=30 python/python/tests
     - name: pytest (no integration tests)
       shell: bash
       if: ${{ inputs.integration != 'true' }}
-      run: pytest -m "not slow and not s3_test" -vv --durations=30 python/python/tests
+      run: pytest -m "not slow and not s3_test" -x -v --durations=30 python/python/tests

.github/workflows/rust.yml

@@ -40,9 +40,6 @@ jobs:
         with:
           fetch-depth: 0
           lfs: true
-      - uses: actions-rust-lang/setup-rust-toolchain@v1
-        with:
-          components: rustfmt, clippy
       - uses: Swatinem/rust-cache@v2
         with:
           workspaces: rust
@@ -163,8 +160,8 @@ jobs:
     strategy:
       matrix:
         target:
-          - x86_64-pc-windows-msvc
-          - aarch64-pc-windows-msvc
+        - x86_64-pc-windows-msvc
+        - aarch64-pc-windows-msvc
     defaults:
       run:
         working-directory: rust/lancedb

.github/workflows/update_package_lock/action.yml

@@ -0,0 +1,33 @@
+name: update_package_lock
+description: "Update node's package.lock"
+
+inputs:
+  github_token:
+    required: true
+    description: "github token for the repo"
+
+runs:
+  using: "composite"
+  steps:
+    - uses: actions/setup-node@v3
+      with:
+        node-version: 20
+    - name: Set git configs
+      shell: bash
+      run: |
+        git config user.name 'Lance Release'
+        git config user.email 'lance-dev@lancedb.com'
+    - name: Update package-lock.json file
+      working-directory: ./node
+      run: |
+        npm install
+        git add package-lock.json
+        git commit -m "Updating package-lock.json"
+      shell: bash
+    - name: Push changes
+      if: ${{ inputs.dry_run }} == "false"
+      uses: ad-m/github-push-action@master
+      with:
+        github_token: ${{ inputs.github_token }}
+        branch: main
+        tags: true

.github/workflows/update_package_lock_nodejs/action.yml

@@ -0,0 +1,33 @@
+name: update_package_lock_nodejs
+description: "Update nodejs's package.lock"
+
+inputs:
+  github_token:
+    required: true
+    description: "github token for the repo"
+
+runs:
+  using: "composite"
+  steps:
+    - uses: actions/setup-node@v3
+      with:
+        node-version: 20
+    - name: Set git configs
+      shell: bash
+      run: |
+        git config user.name 'Lance Release'
+        git config user.email 'lance-dev@lancedb.com'
+    - name: Update package-lock.json file
+      working-directory: ./nodejs
+      run: |
+        npm install
+        git add package-lock.json
+        git commit -m "Updating package-lock.json"
+      shell: bash
+    - name: Push changes
+      if: ${{ inputs.dry_run }} == "false"
+      uses: ad-m/github-push-action@master
+      with:
+        github_token: ${{ inputs.github_token }}
+        branch: main
+        tags: true

Cargo.toml

@@ -21,54 +21,57 @@ categories = ["database-implementations"]
 rust-version = "1.78.0"
 
 [workspace.dependencies]
-lance = { "version" = "=0.31.2", "features" = [
+lance = { "version" = "=0.25.0", "features" = [
     "dynamodb",
-], "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
-lance-io = { "version" = "=0.31.2", "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
-lance-index = { "version" = "=0.31.2", "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
-lance-linalg = { "version" = "=0.31.2", "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
-lance-table = { "version" = "=0.31.2", "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
-lance-testing = { "version" = "=0.31.2", "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
-lance-datafusion = { "version" = "=0.31.2", "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
-lance-encoding = { "version" = "=0.31.2", "tag" = "v0.31.2-beta.3", "git" = "https://github.com/lancedb/lance.git" }
+] }
+lance-io = { version = "=0.25.0" }
+lance-index = { version = "=0.25.0" }
+lance-linalg = { version = "=0.25.0" }
+lance-table = { version = "=0.25.0" }
+lance-testing = { version = "=0.25.0" }
+lance-datafusion = { version = "=0.25.0" }
+lance-encoding = { version = "=0.25.0" }
 # Note that this one does not include pyarrow
-arrow = { version = "55.1", optional = false }
-arrow-array = "55.1"
-arrow-data = "55.1"
-arrow-ipc = "55.1"
-arrow-ord = "55.1"
-arrow-schema = "55.1"
-arrow-arith = "55.1"
-arrow-cast = "55.1"
+arrow = { version = "54.1", optional = false }
+arrow-array = "54.1"
+arrow-data = "54.1"
+arrow-ipc = "54.1"
+arrow-ord = "54.1"
+arrow-schema = "54.1"
+arrow-arith = "54.1"
+arrow-cast = "54.1"
 async-trait = "0"
-datafusion = { version = "48.0", default-features = false }
-datafusion-catalog = "48.0"
-datafusion-common = { version = "48.0", default-features = false }
-datafusion-execution = "48.0"
-datafusion-expr = "48.0"
-datafusion-physical-plan = "48.0"
+datafusion = { version = "45.0", default-features = false }
+datafusion-catalog = "45.0"
+datafusion-common = { version = "45.0", default-features = false }
+datafusion-execution = "45.0"
+datafusion-expr = "45.0"
+datafusion-physical-plan = "45.0"
 env_logger = "0.11"
-half = { "version" = "2.6.0", default-features = false, features = [
+half = { "version" = "=2.4.1", default-features = false, features = [
     "num-traits",
 ] }
 futures = "0"
 log = "0.4"
 moka = { version = "0.12", features = ["future"] }
-object_store = "0.12.0"
+object_store = "0.11.0"
 pin-project = "1.0.7"
 snafu = "0.8"
 url = "2"
 num-traits = "0.2"
-rand = "0.9"
+rand = "0.8"
 regex = "1.10"
 lazy_static = "1"
 semver = "1.0.25"
+
 # Temporary pins to work around downstream issues
 # https://github.com/apache/arrow-rs/commit/2fddf85afcd20110ce783ed5b4cdeb82293da30b
-chrono = "=0.4.41"
+chrono = "=0.4.39"
 # https://github.com/RustCrypto/formats/issues/1684
 base64ct = "=1.6.0"
+
 # Workaround for: https://github.com/eira-fransham/crunchy/issues/13
 crunchy = "=0.2.2"
+
 # Workaround for: https://github.com/Lokathor/bytemuck/issues/306
 bytemuck_derive = ">=1.8.1, <1.9.0"

README.md

@@ -1,97 +1,94 @@
 <a href="https://cloud.lancedb.com" target="_blank">
   <img src="https://github.com/user-attachments/assets/92dad0a2-2a37-4ce1-b783-0d1b4f30a00c" alt="LanceDB Cloud Public Beta" width="100%" style="max-width: 100%;">
 </a>
+
 <div align="center">
+<p align="center">
 
-[![LanceDB](docs/src/assets/hero-header.png)](https://lancedb.com)
-[![Website](https://img.shields.io/badge/-Website-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://lancedb.com/)
-[![Blog](https://img.shields.io/badge/Blog-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://blog.lancedb.com/)
-[![Discord](https://img.shields.io/badge/-Discord-100000?style=for-the-badge&logo=discord&logoColor=white&labelColor=645cfb&color=645cfb)](https://discord.gg/zMM32dvNtd)
-[![Twitter](https://img.shields.io/badge/-Twitter-100000?style=for-the-badge&logo=x&logoColor=white&labelColor=645cfb&color=645cfb)](https://twitter.com/lancedb)
-[![LinkedIn](https://img.shields.io/badge/-LinkedIn-100000?style=for-the-badge&logo=linkedin&logoColor=white&labelColor=645cfb&color=645cfb)](https://www.linkedin.com/company/lancedb/)
+<picture>
+  <source media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/ac270358-333e-4bea-a132-acefaa94040e">
+  <source media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/b864d814-0d29-4784-8fd9-807297c758c0">
+  <img alt="LanceDB Logo" src="https://github.com/user-attachments/assets/b864d814-0d29-4784-8fd9-807297c758c0" width=300>
+</picture>
 
+**Search More, Manage Less**
 
-<img src="docs/src/assets/lancedb.png" alt="LanceDB" width="50%">
+<a href='https://github.com/lancedb/vectordb-recipes/tree/main' target="_blank"><img alt='LanceDB' src='https://img.shields.io/badge/VectorDB_Recipes-100000?style=for-the-badge&logo=LanceDB&logoColor=white&labelColor=645cfb&color=645cfb'/></a>
+<a href='https://lancedb.github.io/lancedb/' target="_blank"><img alt='lancdb' src='https://img.shields.io/badge/DOCS-100000?style=for-the-badge&logo=lancdb&logoColor=white&labelColor=645cfb&color=645cfb'/></a>
+[![Blog](https://img.shields.io/badge/Blog-12100E?style=for-the-badge&logoColor=white)](https://blog.lancedb.com/)
+[![Discord](https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/zMM32dvNtd)
+[![Twitter](https://img.shields.io/badge/Twitter-%231DA1F2.svg?style=for-the-badge&logo=Twitter&logoColor=white)](https://twitter.com/lancedb)
+[![Gurubase](https://img.shields.io/badge/Gurubase-Ask%20LanceDB%20Guru-006BFF?style=for-the-badge)](https://gurubase.io/g/lancedb)
 
-# **The Multimodal AI Lakehouse**
+</p>
 
-[**How to Install** ](#how-to-install) ✦ [**Detailed Documentation**](https://lancedb.github.io/lancedb/) ✦ [**Tutorials and Recipes**](https://github.com/lancedb/vectordb-recipes/tree/main) ✦  [**Contributors**](#contributors) 
-
-**The ultimate multimodal data platform for AI/ML applications.** 
-
-LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. 
-LanceDB is a central location where developers can build, train and analyze their AI workloads.
-
-</div>
-
-<br>
-
-## **Demo: Multimodal Search by Keyword, Vector or with SQL**
 <img max-width="750px" alt="LanceDB Multimodal Search" src="https://github.com/lancedb/lancedb/assets/917119/09c5afc5-7816-4687-bae4-f2ca194426ec">
 
-## **Star LanceDB to get updates!**
-
-<details>
-<summary>⭐ Click here ⭐  to see how fast we're growing!</summary>
-<picture>
-  <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=lancedb/lancedb&theme=dark&type=Date">
-  <img width="100%" src="https://api.star-history.com/svg?repos=lancedb/lancedb&theme=dark&type=Date">
-</picture>
-</details>
-
-## **Key Features**:
-
-- **Fast Vector Search**: Search billions of vectors in milliseconds with state-of-the-art indexing.
-- **Comprehensive Search**: Support for vector similarity search, full-text search and SQL.
-- **Multimodal Support**: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
-- **Advanced Features**: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
-
-### **Products**:
-- **Open Source & Local**: 100% open source, runs locally or in your cloud. No vendor lock-in.
-- **Cloud and Enterprise**: Production-scale vector search with no servers to manage. Complete data sovereignty and security.
-
-### **Ecosystem**:
-- **Columnar Storage**: Built on the Lance columnar format for efficient storage and analytics.
-- **Seamless Integration**: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
-- **Rich Ecosystem**: Integrations with [**LangChain** 🦜️🔗](https://python.langchain.com/docs/integrations/vectorstores/lancedb/), [**LlamaIndex** 🦙](https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/LanceDBIndexDemo.html), Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
-
-## **How to Install**:
-
-Follow the [Quickstart](https://lancedb.github.io/lancedb/basic/) doc to set up LanceDB locally. 
-
-**API & SDK:** We also support Python, Typescript and Rust SDKs
-
-| Interface | Documentation |
-|-----------|---------------|
-| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
-| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
-| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
-| REST API | https://docs.lancedb.com/api-reference/introduction |
-
-## **Join Us and Contribute**
-
-We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out. 
-
-If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our [**Discord**](https://discord.gg/G5DcmnZWKB) server.
-
-[**Check out the GitHub Issues**](https://github.com/lancedb/lancedb/issues) if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub. 
-
-## **Contributors**
-
-<a href="https://github.com/lancedb/lancedb/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=lancedb/lancedb" />
-</a>
-
-
-## **Stay in Touch With Us**
-<div align="center">
-
-</br>
-
-[![Website](https://img.shields.io/badge/-Website-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://lancedb.com/)
-[![Blog](https://img.shields.io/badge/Blog-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://blog.lancedb.com/)
-[![Discord](https://img.shields.io/badge/-Discord-100000?style=for-the-badge&logo=discord&logoColor=white&labelColor=645cfb&color=645cfb)](https://discord.gg/zMM32dvNtd)
-[![Twitter](https://img.shields.io/badge/-Twitter-100000?style=for-the-badge&logo=x&logoColor=white&labelColor=645cfb&color=645cfb)](https://twitter.com/lancedb)
-[![LinkedIn](https://img.shields.io/badge/-LinkedIn-100000?style=for-the-badge&logo=linkedin&logoColor=white&labelColor=645cfb&color=645cfb)](https://www.linkedin.com/company/lancedb/)
-
+</p>
 </div>
+
+<hr />
+
+LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.
+
+The key features of LanceDB include:
+
+* Production-scale vector search with no servers to manage.
+
+* Store, query and filter vectors, metadata and multi-modal data (text, images, videos, point clouds, and more).
+
+* Support for vector similarity search, full-text search and SQL.
+
+* Native Python and Javascript/Typescript support.
+
+* Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure.
+
+* GPU support in building vector index(*).
+
+* Ecosystem integrations with [LangChain 🦜️🔗](https://python.langchain.com/docs/integrations/vectorstores/lancedb/), [LlamaIndex 🦙](https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/LanceDBIndexDemo.html), Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
+
+LanceDB's core is written in Rust 🦀 and is built using <a href="https://github.com/lancedb/lance">Lance</a>, an open-source columnar format designed for performant ML workloads.
+
+## Quick Start
+
+**Javascript**
+```shell
+npm install @lancedb/lancedb
+```
+
+```javascript
+import * as lancedb from "@lancedb/lancedb";
+
+const db = await lancedb.connect("data/sample-lancedb");
+const table = await db.createTable("vectors", [
+	{ id: 1, vector: [0.1, 0.2], item: "foo", price: 10 },
+	{ id: 2, vector: [1.1, 1.2], item: "bar", price: 50 },
+], {mode: 'overwrite'});
+
+
+const query = table.vectorSearch([0.1, 0.3]).limit(2);
+const results = await query.toArray();
+
+// You can also search for rows by specific criteria without involving a vector search.
+const rowsByCriteria = await table.query().where("price >= 10").toArray();
+```
+
+**Python**
+```shell
+pip install lancedb
+```
+
+```python
+import lancedb
+
+uri = "data/sample-lancedb"
+db = lancedb.connect(uri)
+table = db.create_table("my_table",
+                         data=[{"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
+                               {"vector": [5.9, 26.5], "item": "bar", "price": 20.0}])
+result = table.search([100, 100]).limit(2).to_pandas()
+```
+
+## Blogs, Tutorials & Videos
+* 📈 <a href="https://blog.lancedb.com/benchmarking-random-access-in-lance/">2000x better performance with Lance over Parquet</a>
+* 🤖 <a href="https://github.com/lancedb/vectordb-recipes/tree/main/examples/Youtube-Search-QA-Bot">Build a question and answer bot with LanceDB</a>

ci/set_lance_version.py

@@ -1,188 +0,0 @@
-import argparse
-import sys
-import json
-
-
-def run_command(command: str) -> str:
-    """
-    Run a shell command and return stdout as a string.
-    If exit code is not 0, raise an exception with the stderr output.
-    """
-    import subprocess
-
-    result = subprocess.run(command, shell=True, capture_output=True, text=True)
-    if result.returncode != 0:
-        raise Exception(f"Command failed with error: {result.stderr.strip()}")
-    return result.stdout.strip()
-
-
-def get_latest_stable_version() -> str:
-    version_line = run_command("cargo info lance | grep '^version:'")
-    version = version_line.split(" ")[1].strip()
-    return version
-
-
-def get_latest_preview_version() -> str:
-    lance_tags = run_command(
-        "git ls-remote --tags https://github.com/lancedb/lance.git | grep 'refs/tags/v[0-9beta.-]\\+$'"
-    ).splitlines()
-    lance_tags = (
-        tag.split("refs/tags/")[1]
-        for tag in lance_tags
-        if "refs/tags/" in tag and "beta" in tag
-    )
-    from packaging.version import Version
-
-    latest = max(
-        (tag[1:] for tag in lance_tags if tag.startswith("v")), key=lambda t: Version(t)
-    )
-    return str(latest)
-
-
-def extract_features(line: str) -> list:
-    """
-    Extracts the features from a line in Cargo.toml.
-    Example: 'lance = { "version" = "=0.29.0", "features" = ["dynamodb"] }'
-    Returns: ['dynamodb']
-    """
-    import re
-
-    match = re.search(r'"features"\s*=\s*\[\s*(.*?)\s*\]', line, re.DOTALL)
-    if match:
-        features_str = match.group(1)
-        return [f.strip('"') for f in features_str.split(",") if len(f) > 0]
-    return []
-
-
-def update_cargo_toml(line_updater):
-    """
-    Updates the Cargo.toml file by applying the line_updater function to each line.
-    The line_updater function should take a line as input and return the updated line.
-    """
-    with open("Cargo.toml", "r") as f:
-        lines = f.readlines()
-
-    new_lines = []
-    lance_line = ""
-    is_parsing_lance_line = False
-    for line in lines:
-        if line.startswith("lance"):
-            # Update the line using the provided function
-            if line.strip().endswith("}"):
-                new_lines.append(line_updater(line))
-            else:
-                lance_line = line
-                is_parsing_lance_line = True
-        elif is_parsing_lance_line:
-            lance_line += line
-            if line.strip().endswith("}"):
-                new_lines.append(line_updater(lance_line))
-                lance_line = ""
-                is_parsing_lance_line = False
-            else:
-                print("doesn't end with }:", line)
-        else:
-            # Keep the line unchanged
-            new_lines.append(line)
-
-    with open("Cargo.toml", "w") as f:
-        f.writelines(new_lines)
-
-
-def set_stable_version(version: str):
-    """
-    Sets lines to
-    lance = { "version" = "=0.29.0", "features" = ["dynamodb"] }
-    lance-io = "=0.29.0"
-    ...
-    """
-
-    def line_updater(line: str) -> str:
-        package_name = line.split("=", maxsplit=1)[0].strip()
-        features = extract_features(line)
-        if features:
-            return f'{package_name} = {{ "version" = "={version}", "features" = {json.dumps(features)} }}\n'
-        else:
-            return f'{package_name} = "={version}"\n'
-
-    update_cargo_toml(line_updater)
-
-
-def set_preview_version(version: str):
-    """
-    Sets lines to
-    lance = { "version" = "=0.29.0", "features" = ["dynamodb"], tag = "v0.29.0-beta.2", git="https://github.com/lancedb/lance.git" }
-    lance-io = { version = "=0.29.0", tag = "v0.29.0-beta.2", git="https://github.com/lancedb/lance.git" }
-    ...
-    """
-
-    def line_updater(line: str) -> str:
-        package_name = line.split("=", maxsplit=1)[0].strip()
-        features = extract_features(line)
-        base_version = version.split("-")[0]  # Get the base version without beta suffix
-        if features:
-            return f'{package_name} = {{ "version" = "={base_version}", "features" = {json.dumps(features)}, "tag" = "v{version}", "git" = "https://github.com/lancedb/lance.git" }}\n'
-        else:
-            return f'{package_name} = {{ "version" = "={base_version}", "tag" = "v{version}", "git" = "https://github.com/lancedb/lance.git" }}\n'
-
-    update_cargo_toml(line_updater)
-
-
-def set_local_version():
-    """
-    Sets lines to
-    lance = { path = "../lance/rust/lance", features = ["dynamodb"] }
-    lance-io = { path = "../lance/rust/lance-io" }
-    ...
-    """
-
-    def line_updater(line: str) -> str:
-        package_name = line.split("=", maxsplit=1)[0].strip()
-        features = extract_features(line)
-        if features:
-            return f'{package_name} = {{ "path" = "../lance/rust/{package_name}", "features" = {json.dumps(features)} }}\n'
-        else:
-            return f'{package_name} = {{ "path" = "../lance/rust/{package_name}" }}\n'
-
-    update_cargo_toml(line_updater)
-
-
-parser = argparse.ArgumentParser(description="Set the version of the Lance package.")
-parser.add_argument(
-    "version",
-    type=str,
-    help="The version to set for the Lance package. Use 'stable' for the latest stable version, 'preview' for latest preview version, or a specific version number (e.g., '0.1.0'). You can also specify 'local' to use a local path.",
-)
-args = parser.parse_args()
-
-if args.version == "stable":
-    latest_stable_version = get_latest_stable_version()
-    print(
-        f"Found latest stable version: \033[1mv{latest_stable_version}\033[0m",
-        file=sys.stderr,
-    )
-    set_stable_version(latest_stable_version)
-elif args.version == "preview":
-    latest_preview_version = get_latest_preview_version()
-    print(
-        f"Found latest preview version: \033[1mv{latest_preview_version}\033[0m",
-        file=sys.stderr,
-    )
-    set_preview_version(latest_preview_version)
-elif args.version == "local":
-    set_local_version()
-else:
-    # Parse the version number.
-    version = args.version
-    # Ignore initial v if present.
-    if version.startswith("v"):
-        version = version[1:]
-
-    if "beta" in version:
-        set_preview_version(version)
-    else:
-        set_stable_version(version)
-
-print("Updating lockfiles...", file=sys.stderr, end="")
-run_command("cargo metadata > /dev/null")
-print(" done.", file=sys.stderr)

ci/update_lockfiles.sh

@@ -1,30 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-AMEND=false
-
-for arg in "$@"; do
-  if [[ "$arg" == "--amend" ]]; then
-    AMEND=true
-  fi
-done
-
-# This updates the lockfile without building
-cargo metadata --quiet > /dev/null
-
-pushd nodejs || exit 1
-npm install --package-lock-only --silent
-popd
-pushd node || exit 1
-npm install --package-lock-only --silent
-popd
-
-if git diff --quiet --exit-code; then
-  echo "No lockfile changes to commit; skipping amend."
-elif $AMEND; then
-  git add Cargo.lock nodejs/package-lock.json node/package-lock.json
-  git commit --amend --no-edit
-else
-  git add Cargo.lock nodejs/package-lock.json node/package-lock.json
-  git commit -m "Update lockfiles"
-fi

docs/README.md

@@ -2,7 +2,7 @@
 
 LanceDB docs are deployed to https://lancedb.github.io/lancedb/.
 
-Docs is built and deployed automatically by [Github Actions](../.github/workflows/docs.yml)
+Docs is built and deployed automatically by [Github Actions](.github/workflows/docs.yml)
 whenever a commit is pushed to the `main` branch. So it is possible for the docs to show
 unreleased features.
 

docs/mkdocs.yml

@@ -193,7 +193,6 @@ nav:
           - Pandas and PyArrow: python/pandas_and_pyarrow.md
           - Polars: python/polars_arrow.md
           - DuckDB: python/duckdb.md
-          - Datafusion: python/datafusion.md
           - LangChain:
               - LangChain 🔗: integrations/langchain.md
               - LangChain demo: notebooks/langchain_demo.ipynb
@@ -206,7 +205,6 @@ nav:
           - PromptTools: integrations/prompttools.md
           - dlt: integrations/dlt.md
           - phidata: integrations/phidata.md
-          - Genkit: integrations/genkit.md
       - 🎯 Examples:
           - Overview: examples/index.md
           - 🐍 Python:
@@ -249,7 +247,6 @@ nav:
       - Data management: concepts/data_management.md
   - Guides:
       - Working with tables: guides/tables.md
-      - Working with SQL: guides/sql_querying.md
       - Building an ANN index: ann_indexes.md
       - Vector Search: search.md
       - Full-text search (native): fts.md
@@ -326,7 +323,6 @@ nav:
       - Pandas and PyArrow: python/pandas_and_pyarrow.md
       - Polars: python/polars_arrow.md
       - DuckDB: python/duckdb.md
-      - Datafusion: python/datafusion.md
       - LangChain 🦜️🔗↗: integrations/langchain.md
       - LangChain.js 🦜️🔗↗: https://js.langchain.com/docs/integrations/vectorstores/lancedb
       - LlamaIndex 🦙↗: integrations/llamaIndex.md
@@ -335,7 +331,6 @@ nav:
       - PromptTools: integrations/prompttools.md
       - dlt: integrations/dlt.md
       - phidata: integrations/phidata.md
-      - Genkit: integrations/genkit.md
   - Examples:
       - examples/index.md
       - 🐍 Python:

docs/overrides/partials/main.html

@@ -1,5 +0,0 @@
-{% extends "base.html" %}
-
-{% block announce %}
-  📚 Starting June 1st, 2025, please use <a href="https://lancedb.github.io/documentation" target="_blank" rel="noopener noreferrer">lancedb.github.io/documentation</a> for the latest docs.
-{% endblock %}

docs/package-lock.json

@@ -19,7 +19,7 @@
     },
     "../node": {
       "name": "vectordb",
-      "version": "0.21.2-beta.0",
+      "version": "0.12.0",
       "cpu": [
         "x64",
         "arm64"
@@ -65,11 +65,11 @@
         "uuid": "^9.0.0"
       },
       "optionalDependencies": {
-        "@lancedb/vectordb-darwin-arm64": "0.21.2-beta.0",
-        "@lancedb/vectordb-darwin-x64": "0.21.2-beta.0",
-        "@lancedb/vectordb-linux-arm64-gnu": "0.21.2-beta.0",
-        "@lancedb/vectordb-linux-x64-gnu": "0.21.2-beta.0",
-        "@lancedb/vectordb-win32-x64-msvc": "0.21.2-beta.0"
+        "@lancedb/vectordb-darwin-arm64": "0.12.0",
+        "@lancedb/vectordb-darwin-x64": "0.12.0",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.12.0",
+        "@lancedb/vectordb-linux-x64-gnu": "0.12.0",
+        "@lancedb/vectordb-win32-x64-msvc": "0.12.0"
       },
       "peerDependencies": {
         "@apache-arrow/ts": "^14.0.2",

docs/src/ann_indexes.md

@@ -291,7 +291,7 @@ Product quantization can lead to approximately `16 * sizeof(float32) / 1 = 64` t
 
 `num_partitions` is used to decide how many partitions the first level `IVF` index uses.
 Higher number of partitions could lead to more efficient I/O during queries and better accuracy, but it takes much more time to train.
-On `SIFT-1M` dataset, our benchmark shows that keeping each partition 4K-8K rows lead to a good latency / recall.
+On `SIFT-1M` dataset, our benchmark shows that keeping each partition 1K-4K rows lead to a good latency / recall.
 
 `num_sub_vectors` specifies how many Product Quantization (PQ) short codes to generate on each vector. The number should be a factor of the vector dimension. Because
 PQ is a lossy compression of the original vector, a higher `num_sub_vectors` usually results in

docs/src/guides/sql_querying.md

@@ -1,60 +0,0 @@
-# SQL Querying
-
-You can use DuckDB and Apache Datafusion to query your LanceDB tables using SQL.
-This guide will show how to query Lance tables them using both.
-
-We will re-use the dataset [created previously](./tables.md):
-
-```python
-import lancedb
-
-db = lancedb.connect("data/sample-lancedb")
-data = [
-    {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
-    {"vector": [5.9, 26.5], "item": "bar", "price": 20.0}
-]
-table = db.create_table("pd_table", data=data)
-```
-
-## Querying a LanceDB Table with DuckDb
-
-The `to_lance` method converts the LanceDB table to a `LanceDataset`, which is accessible to DuckDB through the Arrow compatibility layer.
-To query the resulting Lance dataset in DuckDB, all you need to do is reference the dataset by the same name in your SQL query.
-
-```python
-import duckdb
-
-arrow_table = table.to_lance()
-
-duckdb.query("SELECT * FROM arrow_table")
-```
-
-| vector      | item | price |
-| ----------- | ---- | ----- |
-| [3.1, 4.1]  | foo  | 10.0  |
-| [5.9, 26.5] | bar  | 20.0  |
-
-## Querying a LanceDB Table with Apache Datafusion
-
-Have the required imports before doing any querying.
-
-=== "Python"
-
-    ```python
-    --8<-- "python/python/tests/docs/test_guide_tables.py:import-lancedb"
-    --8<-- "python/python/tests/docs/test_guide_tables.py:import-session-context"
-    --8<-- "python/python/tests/docs/test_guide_tables.py:import-ffi-dataset"
-    ```
-
-Register the table created with the Datafusion session context.
-
-=== "Python"
-
-    ```python
-    --8<-- "python/python/tests/docs/test_guide_tables.py:lance_sql_basic"
-    ```
-
-| vector      | item | price |
-| ----------- | ---- | ----- |
-| [3.1, 4.1]  | foo  | 10.0  |
-| [5.9, 26.5] | bar  | 20.0  |

docs/src/guides/storage.md

@@ -342,7 +342,7 @@ For **read and write access**, LanceDB will need a policy such as:
             "Action": [
               "s3:PutObject",
               "s3:GetObject",
-              "s3:DeleteObject"
+              "s3:DeleteObject",
             ],
             "Resource": "arn:aws:s3:::<bucket>/<prefix>/*"
         },
@@ -374,7 +374,7 @@ For **read-only access**, LanceDB will need a policy such as:
         {
             "Effect": "Allow",
             "Action": [
-              "s3:GetObject"
+              "s3:GetObject",
             ],
             "Resource": "arn:aws:s3:::<bucket>/<prefix>/*"
         },

docs/src/guides/tables.md

@@ -765,10 +765,7 @@ This can be used to update zero to all rows depending on how many rows match the
         ];
         const tbl = await db.createTable("my_table", data)
 
-        await tbl.update({
-            values: { vector: [10, 10] },
-            where: "x = 2"
-        });
+        await tbl.update({vector: [10, 10]}, { where: "x = 2"})
         ```
 
     === "vectordb (deprecated)"
@@ -787,10 +784,7 @@ This can be used to update zero to all rows depending on how many rows match the
         ];
         const tbl = await db.createTable("my_table", data)
 
-        await tbl.update({
-            where: "x = 2",
-            values: { vector: [10, 10] }
-        });
+        await tbl.update({ where: "x = 2", values: {vector: [10, 10]} })
         ```
 
 #### Updating using a sql query

docs/src/integrations/genkit.md

@@ -1,183 +0,0 @@
-### genkitx-lancedb
-This is a lancedb plugin for genkit framework. It allows you to use LanceDB for ingesting and rereiving data using genkit framework.
-
-![integration-banner-genkit](https://github.com/user-attachments/assets/a6cc28af-98e9-4425-b87c-7ab139bd7893)
-
-### Installation
-```bash
-pnpm install genkitx-lancedb
-```
-
-### Usage
-
-Adding LanceDB plugin to your genkit instance.
-
-```ts
-import { lancedbIndexerRef, lancedb, lancedbRetrieverRef, WriteMode } from 'genkitx-lancedb';
-import { textEmbedding004, vertexAI } from '@genkit-ai/vertexai';
-import { gemini } from '@genkit-ai/vertexai';
-import { z, genkit } from 'genkit';
-import { Document } from 'genkit/retriever';
-import { chunk } from 'llm-chunk';
-import { readFile } from 'fs/promises';
-import path from 'path';
-import pdf from 'pdf-parse/lib/pdf-parse';
-
-const ai = genkit({
-  plugins: [
-    // vertexAI provides the textEmbedding004 embedder
-    vertexAI(),
-
-    // the local vector store requires an embedder to translate from text to vector
-    lancedb([
-      {
-        dbUri: '.db', // optional lancedb uri, default to .db
-        tableName: 'table', // optional table name, default to table
-        embedder: textEmbedding004,
-      },
-    ]),
-  ],
-});
-```
-
-You can run this app with the following command:
-```bash
-genkit start -- tsx --watch src/index.ts
-```
-
-This'll add LanceDB as a retriever and indexer to the genkit instance. You can see it in the GUI view
-<img width="1710" alt="Screenshot 2025-05-11 at 7 21 05 PM" src="https://github.com/user-attachments/assets/e752f7f4-785b-4797-a11e-72ab06a531b7" />
-
-**Testing retrieval on a sample table**
-Let's see the raw retrieval results
-
-<img width="1710" alt="Screenshot 2025-05-11 at 7 21 05 PM" src="https://github.com/user-attachments/assets/b8d356ed-8421-4790-8fc0-d6af563b9657" />
-On running this query, you'll 5 results fetched from the lancedb table, where each result looks something like this:
-<img width="1417" alt="Screenshot 2025-05-11 at 7 21 18 PM" src="https://github.com/user-attachments/assets/77429525-36e2-4da6-a694-e58c1cf9eb83" />
-
-
-
-## Creating a custom RAG flow
-
-Now that we've seen how you can use LanceDB for in a genkit pipeline, let's refine the flow and create a RAG. A RAG flow will consist of an index and a retreiver with its outputs postprocessed an fed into an LLM for final response
-
-### Creating custom indexer flows
-You can also create custom indexer flows, utilizing more options and features provided by LanceDB.
-
-```ts
-export const menuPdfIndexer = lancedbIndexerRef({
-   // Using all defaults, for dbUri, tableName, and embedder, etc
-});
-
-const chunkingConfig = {
-  minLength: 1000,
-  maxLength: 2000,
-  splitter: 'sentence',
-  overlap: 100,
-  delimiters: '',
-} as any;
-
-
-async function extractTextFromPdf(filePath: string) {
-  const pdfFile = path.resolve(filePath);
-  const dataBuffer = await readFile(pdfFile);
-  const data = await pdf(dataBuffer);
-  return data.text;
-}
-
-export const indexMenu = ai.defineFlow(
-  {
-    name: 'indexMenu',
-    inputSchema: z.string().describe('PDF file path'),
-    outputSchema: z.void(),
-  },
-  async (filePath: string) => {
-    filePath = path.resolve(filePath);
-
-    // Read the pdf.
-    const pdfTxt = await ai.run('extract-text', () =>
-      extractTextFromPdf(filePath)
-    );
-
-    // Divide the pdf text into segments.
-    const chunks = await ai.run('chunk-it', async () =>
-      chunk(pdfTxt, chunkingConfig)
-    );
-
-    // Convert chunks of text into documents to store in the index.
-    const documents = chunks.map((text) => {
-      return Document.fromText(text, { filePath });
-    });
-
-    // Add documents to the index.
-    await ai.index({
-      indexer: menuPdfIndexer,
-      documents,
-      options: {
-        writeMode: WriteMode.Overwrite,
-      } as any
-    });
-  }
-);
-```
-
-<img width="1316" alt="Screenshot 2025-05-11 at 8 35 56 PM" src="https://github.com/user-attachments/assets/e2a20ce4-d1d0-4fa2-9a84-f2cc26e3a29f" />
-
-In your console, you can see the logs
-
-<img width="511" alt="Screenshot 2025-05-11 at 7 19 14 PM" src="https://github.com/user-attachments/assets/243f26c5-ed38-40b6-b661-002f40f0423a" />
-
-### Creating custom retriever flows
-You can also create custom retriever flows, utilizing more options and features provided by LanceDB.
-```ts
-export const menuRetriever = lancedbRetrieverRef({
-  tableName: "table", // Use the same table name as the indexer.
-  displayName: "Menu", // Use a custom display name.
-
-export const menuQAFlow = ai.defineFlow(
-  { name: "Menu", inputSchema: z.string(), outputSchema: z.string() },
-  async (input: string) => {
-    // retrieve relevant documents
-    const docs = await ai.retrieve({
-      retriever: menuRetriever,
-      query: input,
-      options: { 
-        k: 3,
-      },
-    });
-
-    const extractedContent = docs.map(doc => {
-      if (doc.content && Array.isArray(doc.content) && doc.content.length > 0) {
-        if (doc.content[0].media && doc.content[0].media.url) {
-          return doc.content[0].media.url;
-        }
-      }
-      return "No content found";
-    });
-
-    console.log("Extracted content:", extractedContent);
-
-    const { text } = await ai.generate({
-      model: gemini('gemini-2.0-flash'),
-      prompt: `
-You are acting as a helpful AI assistant that can answer 
-questions about the food available on the menu at Genkit Grub Pub.
-
-Use only the context provided to answer the question.
-If you don't know, do not make up an answer.
-Do not add or change items on the menu.
-
-Context:
-${extractedContent.join('\n\n')}
-
-Question: ${input}`,
-      docs,
-    });
-    
-    return text;
-  }
-);
-```
-Now using our retrieval flow, we can ask question about the ingsted PDF
-<img width="1306" alt="Screenshot 2025-05-11 at 7 18 45 PM" src="https://github.com/user-attachments/assets/86c66b13-7c12-4d5f-9d81-ae36bfb1c346" />
-

docs/src/js/classes/BooleanQuery.md

@@ -1,53 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / BooleanQuery
-
-# Class: BooleanQuery
-
-Represents a full-text query interface.
-This interface defines the structure and behavior for full-text queries,
-including methods to retrieve the query type and convert the query to a dictionary format.
-
-## Implements
-
-- [`FullTextQuery`](../interfaces/FullTextQuery.md)
-
-## Constructors
-
-### new BooleanQuery()
-
-```ts
-new BooleanQuery(queries): BooleanQuery
-```
-
-Creates an instance of BooleanQuery.
-
-#### Parameters
-
-* **queries**: [[`Occur`](../enumerations/Occur.md), [`FullTextQuery`](../interfaces/FullTextQuery.md)][]
-    An array of (Occur, FullTextQuery objects) to combine.
-    Occur specifies whether the query must match, or should match.
-
-#### Returns
-
-[`BooleanQuery`](BooleanQuery.md)
-
-## Methods
-
-### queryType()
-
-```ts
-queryType(): FullTextQueryType
-```
-
-The type of the full-text query.
-
-#### Returns
-
-[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
-
-#### Implementation of
-
-[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)

docs/src/js/classes/BoostQuery.md

@@ -1,67 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / BoostQuery
-
-# Class: BoostQuery
-
-Represents a full-text query interface.
-This interface defines the structure and behavior for full-text queries,
-including methods to retrieve the query type and convert the query to a dictionary format.
-
-## Implements
-
-- [`FullTextQuery`](../interfaces/FullTextQuery.md)
-
-## Constructors
-
-### new BoostQuery()
-
-```ts
-new BoostQuery(
-   positive,
-   negative,
-   options?): BoostQuery
-```
-
-Creates an instance of BoostQuery.
-The boost returns documents that match the positive query,
-but penalizes those that match the negative query.
-the penalty is controlled by the `negativeBoost` parameter.
-
-#### Parameters
-
-* **positive**: [`FullTextQuery`](../interfaces/FullTextQuery.md)
-    The positive query that boosts the relevance score.
-
-* **negative**: [`FullTextQuery`](../interfaces/FullTextQuery.md)
-    The negative query that reduces the relevance score.
-
-* **options?**
-    Optional parameters for the boost query.
-    - `negativeBoost`: The boost factor for the negative query (default is 0.0).
-
-* **options.negativeBoost?**: `number`
-
-#### Returns
-
-[`BoostQuery`](BoostQuery.md)
-
-## Methods
-
-### queryType()
-
-```ts
-queryType(): FullTextQueryType
-```
-
-The type of the full-text query.
-
-#### Returns
-
-[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
-
-#### Implementation of
-
-[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)

docs/src/js/classes/MatchQuery.md

@@ -1,76 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / MatchQuery
-
-# Class: MatchQuery
-
-Represents a full-text query interface.
-This interface defines the structure and behavior for full-text queries,
-including methods to retrieve the query type and convert the query to a dictionary format.
-
-## Implements
-
-- [`FullTextQuery`](../interfaces/FullTextQuery.md)
-
-## Constructors
-
-### new MatchQuery()
-
-```ts
-new MatchQuery(
-   query,
-   column,
-   options?): MatchQuery
-```
-
-Creates an instance of MatchQuery.
-
-#### Parameters
-
-* **query**: `string`
-    The text query to search for.
-
-* **column**: `string`
-    The name of the column to search within.
-
-* **options?**
-    Optional parameters for the match query.
-    - `boost`: The boost factor for the query (default is 1.0).
-    - `fuzziness`: The fuzziness level for the query (default is 0).
-    - `maxExpansions`: The maximum number of terms to consider for fuzzy matching (default is 50).
-    - `operator`: The logical operator to use for combining terms in the query (default is "OR").
-    - `prefixLength`: The number of beginning characters being unchanged for fuzzy matching.
-
-* **options.boost?**: `number`
-
-* **options.fuzziness?**: `number`
-
-* **options.maxExpansions?**: `number`
-
-* **options.operator?**: [`Operator`](../enumerations/Operator.md)
-
-* **options.prefixLength?**: `number`
-
-#### Returns
-
-[`MatchQuery`](MatchQuery.md)
-
-## Methods
-
-### queryType()
-
-```ts
-queryType(): FullTextQueryType
-```
-
-The type of the full-text query.
-
-#### Returns
-
-[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
-
-#### Implementation of
-
-[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)

docs/src/js/classes/MergeInsertBuilder.md

@@ -33,22 +33,20 @@ Construct a MergeInsertBuilder. __Internal use only.__
 ### execute()
 
 ```ts
-execute(data, execOptions?): Promise<MergeResult>
+execute(data): Promise<void>
 ```
 
 Executes the merge insert operation
 
+Nothing is returned but the `Table` is updated
+
 #### Parameters
 
 * **data**: [`Data`](../type-aliases/Data.md)
 
-* **execOptions?**: `Partial`&lt;[`WriteExecutionOptions`](../interfaces/WriteExecutionOptions.md)&gt;
-
 #### Returns
 
-`Promise`&lt;[`MergeResult`](../interfaces/MergeResult.md)&gt;
-
-the merge result
+`Promise`&lt;`void`&gt;
 
 ***
 

docs/src/js/classes/MultiMatchQuery.md

@@ -1,67 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / MultiMatchQuery
-
-# Class: MultiMatchQuery
-
-Represents a full-text query interface.
-This interface defines the structure and behavior for full-text queries,
-including methods to retrieve the query type and convert the query to a dictionary format.
-
-## Implements
-
-- [`FullTextQuery`](../interfaces/FullTextQuery.md)
-
-## Constructors
-
-### new MultiMatchQuery()
-
-```ts
-new MultiMatchQuery(
-   query,
-   columns,
-   options?): MultiMatchQuery
-```
-
-Creates an instance of MultiMatchQuery.
-
-#### Parameters
-
-* **query**: `string`
-    The text query to search for across multiple columns.
-
-* **columns**: `string`[]
-    An array of column names to search within.
-
-* **options?**
-    Optional parameters for the multi-match query.
-    - `boosts`: An array of boost factors for each column (default is 1.0 for all).
-    - `operator`: The logical operator to use for combining terms in the query (default is "OR").
-
-* **options.boosts?**: `number`[]
-
-* **options.operator?**: [`Operator`](../enumerations/Operator.md)
-
-#### Returns
-
-[`MultiMatchQuery`](MultiMatchQuery.md)
-
-## Methods
-
-### queryType()
-
-```ts
-queryType(): FullTextQueryType
-```
-
-The type of the full-text query.
-
-#### Returns
-
-[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
-
-#### Implementation of
-
-[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)

docs/src/js/classes/PhraseQuery.md

@@ -1,64 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / PhraseQuery
-
-# Class: PhraseQuery
-
-Represents a full-text query interface.
-This interface defines the structure and behavior for full-text queries,
-including methods to retrieve the query type and convert the query to a dictionary format.
-
-## Implements
-
-- [`FullTextQuery`](../interfaces/FullTextQuery.md)
-
-## Constructors
-
-### new PhraseQuery()
-
-```ts
-new PhraseQuery(
-   query,
-   column,
-   options?): PhraseQuery
-```
-
-Creates an instance of `PhraseQuery`.
-
-#### Parameters
-
-* **query**: `string`
-    The phrase to search for in the specified column.
-
-* **column**: `string`
-    The name of the column to search within.
-
-* **options?**
-    Optional parameters for the phrase query.
-    - `slop`: The maximum number of intervening unmatched positions allowed between words in the phrase (default is 0).
-
-* **options.slop?**: `number`
-
-#### Returns
-
-[`PhraseQuery`](PhraseQuery.md)
-
-## Methods
-
-### queryType()
-
-```ts
-queryType(): FullTextQueryType
-```
-
-The type of the full-text query.
-
-#### Returns
-
-[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
-
-#### Implementation of
-
-[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)

docs/src/js/classes/Query.md

@@ -30,53 +30,6 @@ protected inner: Query | Promise<Query>;
 
 ## Methods
 
-### analyzePlan()
-
-```ts
-analyzePlan(): Promise<string>
-```
-
-Executes the query and returns the physical query plan annotated with runtime metrics.
-
-This is useful for debugging and performance analysis, as it shows how the query was executed
-and includes metrics such as elapsed time, rows processed, and I/O statistics.
-
-#### Returns
-
-`Promise`&lt;`string`&gt;
-
-A query execution plan with runtime metrics for each step.
-
-#### Example
-
-```ts
-import * as lancedb from "@lancedb/lancedb"
-
-const db = await lancedb.connect("./.lancedb");
-const table = await db.createTable("my_table", [
-  { vector: [1.1, 0.9], id: "1" },
-]);
-
-const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
-
-Example output (with runtime metrics inlined):
-AnalyzeExec verbose=true, metrics=[]
- ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
-  Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
-   CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
-    GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
-     FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
-      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
-       KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
-        LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
-```
-
-#### Inherited from
-
-[`QueryBase`](QueryBase.md).[`analyzePlan`](QueryBase.md#analyzeplan)
-
-***
-
 ### execute()
 
 ```ts
@@ -206,7 +159,7 @@ fullTextSearch(query, options?): this
 
 #### Parameters
 
-* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
+* **query**: `string`
 
 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;
 
@@ -309,7 +262,7 @@ nearestToText(query, columns?): Query
 
 #### Parameters
 
-* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
+* **query**: `string`
 
 * **columns?**: `string`[]
 

docs/src/js/classes/QueryBase.md

@@ -36,49 +36,6 @@ protected inner: NativeQueryType | Promise<NativeQueryType>;
 
 ## Methods
 
-### analyzePlan()
-
-```ts
-analyzePlan(): Promise<string>
-```
-
-Executes the query and returns the physical query plan annotated with runtime metrics.
-
-This is useful for debugging and performance analysis, as it shows how the query was executed
-and includes metrics such as elapsed time, rows processed, and I/O statistics.
-
-#### Returns
-
-`Promise`&lt;`string`&gt;
-
-A query execution plan with runtime metrics for each step.
-
-#### Example
-
-```ts
-import * as lancedb from "@lancedb/lancedb"
-
-const db = await lancedb.connect("./.lancedb");
-const table = await db.createTable("my_table", [
-  { vector: [1.1, 0.9], id: "1" },
-]);
-
-const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
-
-Example output (with runtime metrics inlined):
-AnalyzeExec verbose=true, metrics=[]
- ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
-  Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
-   CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
-    GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
-     FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
-      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
-       KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
-        LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
-```
-
-***
-
 ### execute()
 
 ```ts
@@ -192,7 +149,7 @@ fullTextSearch(query, options?): this
 
 #### Parameters
 
-* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
+* **query**: `string`
 
 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;
 

docs/src/js/classes/Table.md

@@ -40,7 +40,7 @@ Returns the name of the table
 ### add()
 
 ```ts
-abstract add(data, options?): Promise<AddResult>
+abstract add(data, options?): Promise<void>
 ```
 
 Insert records into this Table.
@@ -54,17 +54,14 @@ Insert records into this Table.
 
 #### Returns
 
-`Promise`&lt;[`AddResult`](../interfaces/AddResult.md)&gt;
-
-A promise that resolves to an object
-containing the new version number of the table
+`Promise`&lt;`void`&gt;
 
 ***
 
 ### addColumns()
 
 ```ts
-abstract addColumns(newColumnTransforms): Promise<AddColumnsResult>
+abstract addColumns(newColumnTransforms): Promise<void>
 ```
 
 Add new columns with defined values.
@@ -79,17 +76,14 @@ Add new columns with defined values.
 
 #### Returns
 
-`Promise`&lt;[`AddColumnsResult`](../interfaces/AddColumnsResult.md)&gt;
-
-A promise that resolves to an object
-containing the new version number of the table after adding the columns.
+`Promise`&lt;`void`&gt;
 
 ***
 
 ### alterColumns()
 
 ```ts
-abstract alterColumns(columnAlterations): Promise<AlterColumnsResult>
+abstract alterColumns(columnAlterations): Promise<void>
 ```
 
 Alter the name or nullability of columns.
@@ -102,10 +96,7 @@ Alter the name or nullability of columns.
 
 #### Returns
 
-`Promise`&lt;[`AlterColumnsResult`](../interfaces/AlterColumnsResult.md)&gt;
-
-A promise that resolves to an object
-containing the new version number of the table after altering the columns.
+`Promise`&lt;`void`&gt;
 
 ***
 
@@ -126,8 +117,8 @@ wish to return to standard mode, call `checkoutLatest`.
 
 #### Parameters
 
-* **version**: `string` \| `number`
-    The version to checkout, could be version number or tag
+* **version**: `number`
+    The version to checkout
 
 #### Returns
 
@@ -261,7 +252,7 @@ await table.createIndex("my_float_col");
 ### delete()
 
 ```ts
-abstract delete(predicate): Promise<DeleteResult>
+abstract delete(predicate): Promise<void>
 ```
 
 Delete the rows that satisfy the predicate.
@@ -272,10 +263,7 @@ Delete the rows that satisfy the predicate.
 
 #### Returns
 
-`Promise`&lt;[`DeleteResult`](../interfaces/DeleteResult.md)&gt;
-
-A promise that resolves to an object
-containing the new version number of the table
+`Promise`&lt;`void`&gt;
 
 ***
 
@@ -296,7 +284,7 @@ Return a brief description of the table
 ### dropColumns()
 
 ```ts
-abstract dropColumns(columnNames): Promise<DropColumnsResult>
+abstract dropColumns(columnNames): Promise<void>
 ```
 
 Drop one or more columns from the dataset
@@ -315,10 +303,7 @@ then call ``cleanup_files`` to remove the old files.
 
 #### Returns
 
-`Promise`&lt;[`DropColumnsResult`](../interfaces/DropColumnsResult.md)&gt;
-
-A promise that resolves to an object
-containing the new version number of the table after dropping the columns.
+`Promise`&lt;`void`&gt;
 
 ***
 
@@ -469,28 +454,6 @@ Modeled after ``VACUUM`` in PostgreSQL.
 
 ***
 
-### prewarmIndex()
-
-```ts
-abstract prewarmIndex(name): Promise<void>
-```
-
-Prewarm an index in the table.
-
-#### Parameters
-
-* **name**: `string`
-    The name of the index.
-    This will load the index into memory.  This may reduce the cold-start time for
-    future queries.  If the index does not fit in the cache then this call may be
-    wasteful.
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
-
-***
-
 ### query()
 
 ```ts
@@ -612,7 +575,7 @@ of the given query
 
 #### Parameters
 
-* **query**: `string` \| [`IntoVector`](../type-aliases/IntoVector.md) \| [`MultiVector`](../type-aliases/MultiVector.md) \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
+* **query**: `string` \| [`IntoVector`](../type-aliases/IntoVector.md)
     the query, a vector or string
 
 * **queryType?**: `string`
@@ -630,50 +593,6 @@ of the given query
 
 ***
 
-### stats()
-
-```ts
-abstract stats(): Promise<TableStatistics>
-```
-
-Returns table and fragment statistics
-
-#### Returns
-
-`Promise`&lt;[`TableStatistics`](../interfaces/TableStatistics.md)&gt;
-
-The table and fragment statistics
-
-***
-
-### tags()
-
-```ts
-abstract tags(): Promise<Tags>
-```
-
-Get a tags manager for this table.
-
-Tags allow you to label specific versions of a table with a human-readable name.
-The returned tags manager can be used to list, create, update, or delete tags.
-
-#### Returns
-
-`Promise`&lt;[`Tags`](Tags.md)&gt;
-
-A tags manager for this table
-
-#### Example
-
-```typescript
-const tagsManager = await table.tags();
-await tagsManager.create("v1", 1);
-const tags = await tagsManager.list();
-console.log(tags); // { "v1": { version: 1, manifestSize: ... } }
-```
-
-***
-
 ### toArrow()
 
 ```ts
@@ -693,7 +612,7 @@ Return the table as an arrow table
 #### update(opts)
 
 ```ts
-abstract update(opts): Promise<UpdateResult>
+abstract update(opts): Promise<void>
 ```
 
 Update existing records in the Table
@@ -704,10 +623,7 @@ Update existing records in the Table
 
 ##### Returns
 
-`Promise`&lt;[`UpdateResult`](../interfaces/UpdateResult.md)&gt;
-
-A promise that resolves to an object containing
-the number of rows updated and the new version number
+`Promise`&lt;`void`&gt;
 
 ##### Example
 
@@ -718,7 +634,7 @@ table.update({where:"x = 2", values:{"vector": [10, 10]}})
 #### update(opts)
 
 ```ts
-abstract update(opts): Promise<UpdateResult>
+abstract update(opts): Promise<void>
 ```
 
 Update existing records in the Table
@@ -729,10 +645,7 @@ Update existing records in the Table
 
 ##### Returns
 
-`Promise`&lt;[`UpdateResult`](../interfaces/UpdateResult.md)&gt;
-
-A promise that resolves to an object containing
-the number of rows updated and the new version number
+`Promise`&lt;`void`&gt;
 
 ##### Example
 
@@ -743,7 +656,7 @@ table.update({where:"x = 2", valuesSql:{"x": "x + 1"}})
 #### update(updates, options)
 
 ```ts
-abstract update(updates, options?): Promise<UpdateResult>
+abstract update(updates, options?): Promise<void>
 ```
 
 Update existing records in the Table
@@ -766,6 +679,10 @@ repeatedly calilng this method.
 * **updates**: `Record`&lt;`string`, `string`&gt; \| `Map`&lt;`string`, `string`&gt;
     the
     columns to update
+    Keys in the map should specify the name of the column to update.
+    Values in the map provide the new value of the column.  These can
+    be SQL literal strings (e.g. "7" or "'foo'") or they can be expressions
+    based on the row being updated (e.g. "my_col + 1")
 
 * **options?**: `Partial`&lt;[`UpdateOptions`](../interfaces/UpdateOptions.md)&gt;
     additional options to control
@@ -773,15 +690,7 @@ repeatedly calilng this method.
 
 ##### Returns
 
-`Promise`&lt;[`UpdateResult`](../interfaces/UpdateResult.md)&gt;
-
-A promise that resolves to an object
-containing the number of rows updated and the new version number
-
-Keys in the map should specify the name of the column to update.
-Values in the map provide the new value of the column.  These can
-be SQL literal strings (e.g. "7" or "'foo'") or they can be expressions
-based on the row being updated (e.g. "my_col + 1")
+`Promise`&lt;`void`&gt;
 
 ***
 
@@ -799,7 +708,7 @@ by `query`.
 
 #### Parameters
 
-* **vector**: [`IntoVector`](../type-aliases/IntoVector.md) \| [`MultiVector`](../type-aliases/MultiVector.md)
+* **vector**: [`IntoVector`](../type-aliases/IntoVector.md)
 
 #### Returns
 
@@ -822,26 +731,3 @@ Retrieve the version of the table
 #### Returns
 
 `Promise`&lt;`number`&gt;
-
-***
-
-### waitForIndex()
-
-```ts
-abstract waitForIndex(indexNames, timeoutSeconds): Promise<void>
-```
-
-Waits for asynchronous indexing to complete on the table.
-
-#### Parameters
-
-* **indexNames**: `string`[]
-    The name of the indices to wait for
-
-* **timeoutSeconds**: `number`
-    The number of seconds to wait before timing out
-    This will raise an error if the indices are not created and fully indexed within the timeout.
-
-#### Returns
-
-`Promise`&lt;`void`&gt;

docs/src/js/classes/TagContents.md

@@ -1,35 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / TagContents
-
-# Class: TagContents
-
-## Constructors
-
-### new TagContents()
-
-```ts
-new TagContents(): TagContents
-```
-
-#### Returns
-
-[`TagContents`](TagContents.md)
-
-## Properties
-
-### manifestSize
-
-```ts
-manifestSize: number;
-```
-
-***
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/classes/Tags.md

@@ -1,99 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / Tags
-
-# Class: Tags
-
-## Constructors
-
-### new Tags()
-
-```ts
-new Tags(): Tags
-```
-
-#### Returns
-
-[`Tags`](Tags.md)
-
-## Methods
-
-### create()
-
-```ts
-create(tag, version): Promise<void>
-```
-
-#### Parameters
-
-* **tag**: `string`
-
-* **version**: `number`
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
-
-***
-
-### delete()
-
-```ts
-delete(tag): Promise<void>
-```
-
-#### Parameters
-
-* **tag**: `string`
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
-
-***
-
-### getVersion()
-
-```ts
-getVersion(tag): Promise<number>
-```
-
-#### Parameters
-
-* **tag**: `string`
-
-#### Returns
-
-`Promise`&lt;`number`&gt;
-
-***
-
-### list()
-
-```ts
-list(): Promise<Record<string, TagContents>>
-```
-
-#### Returns
-
-`Promise`&lt;`Record`&lt;`string`, [`TagContents`](TagContents.md)&gt;&gt;
-
-***
-
-### update()
-
-```ts
-update(tag, version): Promise<void>
-```
-
-#### Parameters
-
-* **tag**: `string`
-
-* **version**: `number`
-
-#### Returns
-
-`Promise`&lt;`void`&gt;

docs/src/js/classes/VectorQuery.md

@@ -48,53 +48,6 @@ addQueryVector(vector): VectorQuery
 
 ***
 
-### analyzePlan()
-
-```ts
-analyzePlan(): Promise<string>
-```
-
-Executes the query and returns the physical query plan annotated with runtime metrics.
-
-This is useful for debugging and performance analysis, as it shows how the query was executed
-and includes metrics such as elapsed time, rows processed, and I/O statistics.
-
-#### Returns
-
-`Promise`&lt;`string`&gt;
-
-A query execution plan with runtime metrics for each step.
-
-#### Example
-
-```ts
-import * as lancedb from "@lancedb/lancedb"
-
-const db = await lancedb.connect("./.lancedb");
-const table = await db.createTable("my_table", [
-  { vector: [1.1, 0.9], id: "1" },
-]);
-
-const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
-
-Example output (with runtime metrics inlined):
-AnalyzeExec verbose=true, metrics=[]
- ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
-  Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
-   CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
-    GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
-     FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
-      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
-       KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
-        LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
-```
-
-#### Inherited from
-
-[`QueryBase`](QueryBase.md).[`analyzePlan`](QueryBase.md#analyzeplan)
-
-***
-
 ### bypassVectorIndex()
 
 ```ts
@@ -347,7 +300,7 @@ fullTextSearch(query, options?): this
 
 #### Parameters
 
-* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
+* **query**: `string`
 
 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;
 
@@ -386,53 +339,6 @@ called then every valid row from the table will be returned.
 
 ***
 
-### maximumNprobes()
-
-```ts
-maximumNprobes(maximumNprobes): VectorQuery
-```
-
-Set the maximum number of probes used.
-
-This controls the maximum number of partitions that will be searched.  If this
-number is greater than minimumNprobes then the excess partitions will _only_ be
-searched if we have not found enough results.  This can be useful when there is
-a narrow filter to allow these queries to spend more time searching and avoid
-potential false negatives.
-
-#### Parameters
-
-* **maximumNprobes**: `number`
-
-#### Returns
-
-[`VectorQuery`](VectorQuery.md)
-
-***
-
-### minimumNprobes()
-
-```ts
-minimumNprobes(minimumNprobes): VectorQuery
-```
-
-Set the minimum number of probes used.
-
-This controls the minimum number of partitions that will be searched.  This
-parameter will impact every query against a vector index, regardless of the
-filter.  See `nprobes` for more details.  Higher values will increase recall
-but will also increase latency.
-
-#### Parameters
-
-* **minimumNprobes**: `number`
-
-#### Returns
-
-[`VectorQuery`](VectorQuery.md)
-
-***
-
 ### nprobes()
 
 ```ts
@@ -460,10 +366,6 @@ For best results we recommend tuning this parameter with a benchmark against
 your actual data to find the smallest possible value that will still give
 you the desired recall.
 
-For more fine grained control over behavior when you have a very narrow filter
-you can use `minimumNprobes` and `maximumNprobes`.  This method sets both
-the minimum and maximum to the same value.
-
 #### Parameters
 
 * **nprobes**: `number`

docs/src/js/enumerations/FullTextQueryType.md

@@ -1,54 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / FullTextQueryType
-
-# Enumeration: FullTextQueryType
-
-Enum representing the types of full-text queries supported.
-
-- `Match`: Performs a full-text search for terms in the query string.
-- `MatchPhrase`: Searches for an exact phrase match in the text.
-- `Boost`: Boosts the relevance score of specific terms in the query.
-- `MultiMatch`: Searches across multiple fields for the query terms.
-
-## Enumeration Members
-
-### Boolean
-
-```ts
-Boolean: "boolean";
-```
-
-***
-
-### Boost
-
-```ts
-Boost: "boost";
-```
-
-***
-
-### Match
-
-```ts
-Match: "match";
-```
-
-***
-
-### MatchPhrase
-
-```ts
-MatchPhrase: "match_phrase";
-```
-
-***
-
-### MultiMatch
-
-```ts
-MultiMatch: "multi_match";
-```

docs/src/js/enumerations/Occur.md

@@ -1,37 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / Occur
-
-# Enumeration: Occur
-
-Enum representing the occurrence of terms in full-text queries.
-
-- `Must`: The term must be present in the document.
-- `Should`: The term should contribute to the document score, but is not required.
-- `MustNot`: The term must not be present in the document.
-
-## Enumeration Members
-
-### Must
-
-```ts
-Must: "MUST";
-```
-
-***
-
-### MustNot
-
-```ts
-MustNot: "MUST_NOT";
-```
-
-***
-
-### Should
-
-```ts
-Should: "SHOULD";
-```

docs/src/js/enumerations/Operator.md

@@ -1,28 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / Operator
-
-# Enumeration: Operator
-
-Enum representing the logical operators used in full-text queries.
-
-- `And`: All terms must match.
-- `Or`: At least one term must match.
-
-## Enumeration Members
-
-### And
-
-```ts
-And: "AND";
-```
-
-***
-
-### Or
-
-```ts
-Or: "OR";
-```

docs/src/js/globals.md

@@ -9,51 +9,30 @@
 - [embedding](namespaces/embedding/README.md)
 - [rerankers](namespaces/rerankers/README.md)
 
-## Enumerations
-
-- [FullTextQueryType](enumerations/FullTextQueryType.md)
-- [Occur](enumerations/Occur.md)
-- [Operator](enumerations/Operator.md)
-
 ## Classes
 
-- [BooleanQuery](classes/BooleanQuery.md)
-- [BoostQuery](classes/BoostQuery.md)
 - [Connection](classes/Connection.md)
 - [Index](classes/Index.md)
 - [MakeArrowTableOptions](classes/MakeArrowTableOptions.md)
-- [MatchQuery](classes/MatchQuery.md)
 - [MergeInsertBuilder](classes/MergeInsertBuilder.md)
-- [MultiMatchQuery](classes/MultiMatchQuery.md)
-- [PhraseQuery](classes/PhraseQuery.md)
 - [Query](classes/Query.md)
 - [QueryBase](classes/QueryBase.md)
 - [RecordBatchIterator](classes/RecordBatchIterator.md)
 - [Table](classes/Table.md)
-- [TagContents](classes/TagContents.md)
-- [Tags](classes/Tags.md)
 - [VectorColumnOptions](classes/VectorColumnOptions.md)
 - [VectorQuery](classes/VectorQuery.md)
 
 ## Interfaces
 
-- [AddColumnsResult](interfaces/AddColumnsResult.md)
 - [AddColumnsSql](interfaces/AddColumnsSql.md)
 - [AddDataOptions](interfaces/AddDataOptions.md)
-- [AddResult](interfaces/AddResult.md)
-- [AlterColumnsResult](interfaces/AlterColumnsResult.md)
 - [ClientConfig](interfaces/ClientConfig.md)
 - [ColumnAlteration](interfaces/ColumnAlteration.md)
 - [CompactionStats](interfaces/CompactionStats.md)
 - [ConnectionOptions](interfaces/ConnectionOptions.md)
 - [CreateTableOptions](interfaces/CreateTableOptions.md)
-- [DeleteResult](interfaces/DeleteResult.md)
-- [DropColumnsResult](interfaces/DropColumnsResult.md)
 - [ExecutableQuery](interfaces/ExecutableQuery.md)
-- [FragmentStatistics](interfaces/FragmentStatistics.md)
-- [FragmentSummaryStats](interfaces/FragmentSummaryStats.md)
 - [FtsOptions](interfaces/FtsOptions.md)
-- [FullTextQuery](interfaces/FullTextQuery.md)
 - [FullTextSearchOptions](interfaces/FullTextSearchOptions.md)
 - [HnswPqOptions](interfaces/HnswPqOptions.md)
 - [HnswSqOptions](interfaces/HnswSqOptions.md)
@@ -62,7 +41,6 @@
 - [IndexStatistics](interfaces/IndexStatistics.md)
 - [IvfFlatOptions](interfaces/IvfFlatOptions.md)
 - [IvfPqOptions](interfaces/IvfPqOptions.md)
-- [MergeResult](interfaces/MergeResult.md)
 - [OpenTableOptions](interfaces/OpenTableOptions.md)
 - [OptimizeOptions](interfaces/OptimizeOptions.md)
 - [OptimizeStats](interfaces/OptimizeStats.md)
@@ -70,12 +48,9 @@
 - [RemovalStats](interfaces/RemovalStats.md)
 - [RetryConfig](interfaces/RetryConfig.md)
 - [TableNamesOptions](interfaces/TableNamesOptions.md)
-- [TableStatistics](interfaces/TableStatistics.md)
 - [TimeoutConfig](interfaces/TimeoutConfig.md)
 - [UpdateOptions](interfaces/UpdateOptions.md)
-- [UpdateResult](interfaces/UpdateResult.md)
 - [Version](interfaces/Version.md)
-- [WriteExecutionOptions](interfaces/WriteExecutionOptions.md)
 
 ## Type Aliases
 
@@ -84,7 +59,6 @@
 - [FieldLike](type-aliases/FieldLike.md)
 - [IntoSql](type-aliases/IntoSql.md)
 - [IntoVector](type-aliases/IntoVector.md)
-- [MultiVector](type-aliases/MultiVector.md)
 - [RecordBatchLike](type-aliases/RecordBatchLike.md)
 - [SchemaLike](type-aliases/SchemaLike.md)
 - [TableLike](type-aliases/TableLike.md)

docs/src/js/interfaces/AddColumnsResult.md

@@ -1,15 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / AddColumnsResult
-
-# Interface: AddColumnsResult
-
-## Properties
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/interfaces/AddResult.md

@@ -1,15 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / AddResult
-
-# Interface: AddResult
-
-## Properties
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/interfaces/AlterColumnsResult.md

@@ -1,15 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / AlterColumnsResult
-
-# Interface: AlterColumnsResult
-
-## Properties
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/interfaces/DeleteResult.md

@@ -1,15 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / DeleteResult
-
-# Interface: DeleteResult
-
-## Properties
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/interfaces/DropColumnsResult.md

@@ -1,15 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / DropColumnsResult
-
-# Interface: DropColumnsResult
-
-## Properties
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/interfaces/FragmentStatistics.md

@@ -1,37 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / FragmentStatistics
-
-# Interface: FragmentStatistics
-
-## Properties
-
-### lengths
-
-```ts
-lengths: FragmentSummaryStats;
-```
-
-Statistics on the number of rows in the table fragments
-
-***
-
-### numFragments
-
-```ts
-numFragments: number;
-```
-
-The number of fragments in the table
-
-***
-
-### numSmallFragments
-
-```ts
-numSmallFragments: number;
-```
-
-The number of uncompacted fragments in the table

docs/src/js/interfaces/FragmentSummaryStats.md

@@ -1,77 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / FragmentSummaryStats
-
-# Interface: FragmentSummaryStats
-
-## Properties
-
-### max
-
-```ts
-max: number;
-```
-
-The number of rows in the fragment with the most rows
-
-***
-
-### mean
-
-```ts
-mean: number;
-```
-
-The mean number of rows in the fragments
-
-***
-
-### min
-
-```ts
-min: number;
-```
-
-The number of rows in the fragment with the fewest rows
-
-***
-
-### p25
-
-```ts
-p25: number;
-```
-
-The 25th percentile of number of rows in the fragments
-
-***
-
-### p50
-
-```ts
-p50: number;
-```
-
-The 50th percentile of number of rows in the fragments
-
-***
-
-### p75
-
-```ts
-p75: number;
-```
-
-The 75th percentile of number of rows in the fragments
-
-***
-
-### p99
-
-```ts
-p99: number;
-```
-
-The 99th percentile of number of rows in the fragments

docs/src/js/interfaces/FtsOptions.md

@@ -23,7 +23,7 @@ whether to remove punctuation
 ### baseTokenizer?
 
 ```ts
-optional baseTokenizer: "raw" | "simple" | "whitespace" | "ngram";
+optional baseTokenizer: "raw" | "simple" | "whitespace";
 ```
 
 The tokenizer to use when building the index.
@@ -71,36 +71,6 @@ tokens longer than this length will be ignored
 
 ***
 
-### ngramMaxLength?
-
-```ts
-optional ngramMaxLength: number;
-```
-
-ngram max length
-
-***
-
-### ngramMinLength?
-
-```ts
-optional ngramMinLength: number;
-```
-
-ngram min length
-
-***
-
-### prefixOnly?
-
-```ts
-optional prefixOnly: boolean;
-```
-
-whether to only index the prefix of the token for ngram tokenizer
-
-***
-
 ### removeStopWords?
 
 ```ts

docs/src/js/interfaces/FullTextQuery.md

@@ -1,25 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / FullTextQuery
-
-# Interface: FullTextQuery
-
-Represents a full-text query interface.
-This interface defines the structure and behavior for full-text queries,
-including methods to retrieve the query type and convert the query to a dictionary format.
-
-## Methods
-
-### queryType()
-
-```ts
-queryType(): FullTextQueryType
-```
-
-The type of the full-text query.
-
-#### Returns
-
-[`FullTextQueryType`](../enumerations/FullTextQueryType.md)

docs/src/js/interfaces/IndexOptions.md

@@ -39,11 +39,3 @@ and the same name, then an error will be returned.  This is true even if
 that index is out of date.
 
 The default is true
-
-***
-
-### waitTimeoutSeconds?
-
-```ts
-optional waitTimeoutSeconds: number;
-```

docs/src/js/interfaces/MergeResult.md

@@ -1,39 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / MergeResult
-
-# Interface: MergeResult
-
-## Properties
-
-### numDeletedRows
-
-```ts
-numDeletedRows: number;
-```
-
-***
-
-### numInsertedRows
-
-```ts
-numInsertedRows: number;
-```
-
-***
-
-### numUpdatedRows
-
-```ts
-numUpdatedRows: number;
-```
-
-***
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/interfaces/OptimizeOptions.md

@@ -24,10 +24,10 @@ The default is 7 days
 // Delete all versions older than 1 day
 const olderThan = new Date();
 olderThan.setDate(olderThan.getDate() - 1));
-tbl.optimize({cleanupOlderThan: olderThan});
+tbl.cleanupOlderVersions(olderThan);
 
 // Delete all versions except the current version
-tbl.optimize({cleanupOlderThan: new Date()});
+tbl.cleanupOlderVersions(new Date());
 ```
 
 ***

docs/src/js/interfaces/QueryExecutionOptions.md

@@ -20,13 +20,3 @@ The maximum number of rows to return in a single batch
 
 Batches may have fewer rows if the underlying data is stored
 in smaller chunks.
-
-***
-
-### timeoutMs?
-
-```ts
-optional timeoutMs: number;
-```
-
-Timeout for query execution in milliseconds

docs/src/js/interfaces/TableStatistics.md

@@ -1,47 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / TableStatistics
-
-# Interface: TableStatistics
-
-## Properties
-
-### fragmentStats
-
-```ts
-fragmentStats: FragmentStatistics;
-```
-
-Statistics on table fragments
-
-***
-
-### numIndices
-
-```ts
-numIndices: number;
-```
-
-The number of indices in the table
-
-***
-
-### numRows
-
-```ts
-numRows: number;
-```
-
-The number of rows in the table
-
-***
-
-### totalBytes
-
-```ts
-totalBytes: number;
-```
-
-The total number of bytes in the table

docs/src/js/interfaces/UpdateResult.md

@@ -1,23 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / UpdateResult
-
-# Interface: UpdateResult
-
-## Properties
-
-### rowsUpdated
-
-```ts
-rowsUpdated: number;
-```
-
-***
-
-### version
-
-```ts
-version: number;
-```

docs/src/js/interfaces/WriteExecutionOptions.md

@@ -1,26 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / WriteExecutionOptions
-
-# Interface: WriteExecutionOptions
-
-## Properties
-
-### timeoutMs?
-
-```ts
-optional timeoutMs: number;
-```
-
-Maximum time to run the operation before cancelling it.
-
-By default, there is a 30-second timeout that is only enforced after the
-first attempt. This is to prevent spending too long retrying to resolve
-conflicts. For example, if a write attempt takes 20 seconds and fails,
-the second attempt will be cancelled after 10 seconds, hitting the
-30-second timeout. However, a write that takes one hour and succeeds on the
-first attempt will not be cancelled.
-
-When this is set, the timeout is enforced on all attempts, including the first.

docs/src/js/type-aliases/MultiVector.md

@@ -1,11 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / MultiVector
-
-# Type Alias: MultiVector
-
-```ts
-type MultiVector: IntoVector[];
-```

docs/src/notebooks/Multivector_on_LanceDB.ipynb

@@ -428,7 +428,7 @@
         "\n",
         "**Why?**  \n",
         "Embedding the UFO dataset and ingesting it into LanceDB takes **~2 hours on a T4 GPU**. To save time:  \n",
-        "- **Use the pre-prepared table with index created** (provided below) to proceed directly to **Step 7**: search.  \n",
+        "- **Use the pre-prepared table with index created ** (provided below) to proceed directly to step7: search.  \n",
         "- **Step 5a** contains the full ingestion code for reference (run it only if necessary).  \n",
         "- **Step 6** contains the details on creating the index on the multivector column"
       ]

docs/src/python/datafusion.md

@@ -1,53 +0,0 @@
-# Apache Datafusion
-
-In Python, LanceDB tables can also be queried with [Apache Datafusion](https://datafusion.apache.org/), an extensible query engine written in Rust that uses Apache Arrow as its in-memory format. This means you can write complex SQL queries to analyze your data in LanceDB.
-
-This integration is done via [Datafusion FFI](https://docs.rs/datafusion-ffi/latest/datafusion_ffi/), which provides a native integration between LanceDB and Datafusion.
-The Datafusion FFI allows to pass down column selections and basic filters to LanceDB, reducing the amount of scanned data when executing your query. Additionally, the integration allows streaming data from LanceDB tables which allows to do aggregation larger-than-memory.
-
-We can demonstrate this by first installing `datafusion` and `lancedb`.
-
-```shell
-pip install datafusion lancedb
-```
-
-We will re-use the dataset [created previously](./pandas_and_pyarrow.md):
-
-```python
-import lancedb
-
-from datafusion import SessionContext
-from lance import FFILanceTableProvider
-
-db = lancedb.connect("data/sample-lancedb")
-data = [
-    {"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
-    {"vector": [5.9, 26.5], "item": "bar", "price": 20.0}
-]
-lance_table = db.create_table("lance_table", data)
-
-ctx = SessionContext()
-
-ffi_lance_table = FFILanceTableProvider(
-    lance_table.to_lance(), with_row_id=True, with_row_addr=True
-)
-ctx.register_table_provider("ffi_lance_table", ffi_lance_table)
-```
-
-The `to_lance` method converts the LanceDB table to a `LanceDataset`, which is accessible to Datafusion through the Datafusion FFI integration layer.
-To query the resulting Lance dataset in Datafusion, you first need to register the dataset with Datafusion and then just reference it by the same name in your SQL query.
-
-```python
-ctx.table("ffi_lance_table")
-ctx.sql("SELECT * FROM ffi_lance_table")
-```
-
-```
-┌─────────────┬─────────┬────────┬─────────────────┬─────────────────┐
-│   vector    │  item   │ price  │ _rowid          │ _rowaddr        │
-│   float[]   │ varchar │ double │ bigint unsigned │ bigint unsigned │
-├─────────────┼─────────┼────────┼─────────────────┼─────────────────┤
-│ [3.1, 4.1]  │ foo     │   10.0 │               0 │               0 │
-│ [5.9, 26.5] │ bar     │   20.0 │               1 │               1 │
-└─────────────┴─────────┴────────┴─────────────────┴─────────────────┘
-```

docs/src/troubleshooting.md

@@ -35,9 +35,3 @@ print the resolved query plan. You can use the `explain_plan` method to do this:
 * Python Sync: [LanceQueryBuilder.explain_plan][lancedb.query.LanceQueryBuilder.explain_plan]
 * Python Async: [AsyncQueryBase.explain_plan][lancedb.query.AsyncQueryBase.explain_plan]
 * Node @lancedb/lancedb: [LanceQueryBuilder.explainPlan](/lancedb/js/classes/QueryBase/#explainplan)
-
-To understand how a query was actually executed—including metrics like execution time, number of rows processed, I/O stats, and more—use the analyze_plan method. This executes the query and returns a physical execution plan annotated with runtime metrics, making it especially helpful for performance tuning and debugging.
-
-* Python Sync: [LanceQueryBuilder.analyze_plan][lancedb.query.LanceQueryBuilder.analyze_plan]
-* Python Async: [AsyncQueryBase.analyze_plan][lancedb.query.AsyncQueryBase.analyze_plan]
-* Node @lancedb/lancedb: [LanceQueryBuilder.analyzePlan](/lancedb/js/classes/QueryBase/#analyzePlan)

docs/test/md_testing.py

@@ -30,8 +30,7 @@ excluded_globs = [
     "../src/rag/advanced_techniques/*.md",
     "../src/guides/scalar_index.md",
     "../src/guides/storage.md",
-    "../src/search.md",
-    "../src/guides/sql_querying.md",
+    "../src/search.md"
 ]
 
 python_prefix = "py"

docs/test/requirements.txt

@@ -7,4 +7,3 @@ tantivy==0.20.1
 --extra-index-url https://download.pytorch.org/whl/cpu
 torch
 polars>=0.19, <=1.3.0
-datafusion

java/.mvn/wrapper/maven-wrapper.properties

@@ -1,19 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-wrapperVersion=3.3.2
-distributionType=only-script
-distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.9.9/apache-maven-3.9.9-bin.zip

java/README.md

@@ -1,37 +0,0 @@
-# LanceDB Java SDK
-
-## Configuration and Initialization
-
-### LanceDB Cloud
-
-For LanceDB Cloud, use the simplified builder API:
-
-```java
-import com.lancedb.lance.namespace.LanceRestNamespace;
-
-// If your DB url is db://example-db, then your database here is example-db
-LanceRestNamespace namespace = LanceDBRestNamespaces.builder()
-    .apiKey("your_lancedb_cloud_api_key")
-    .database("your_database_name")
-    .build();
-```
-
-### LanceDB Enterprise
-
-For Enterprise deployments, use your VPC endpoint:
-
-```java
-LanceRestNamespace namespace = LanceDBRestNamespaces.builder()
-    .apiKey("your_lancedb_enterprise_api_key")
-    .database("your-top-dir") // Your top level folder under your cloud bucket, e.g. s3://your-bucket/your-top-dir/
-    .hostOverride("http://<vpc_endpoint_dns_name>:80")
-    .build();
-```
-
-## Development
-
-Build:
-
-```shell
-./mvnw install
-```

java/core/pom.xml

@@ -8,24 +8,15 @@
     <parent>
         <groupId>com.lancedb</groupId>
         <artifactId>lancedb-parent</artifactId>
-        <version>0.21.2-beta.0</version>
+        <version>0.18.2-beta.0</version>
         <relativePath>../pom.xml</relativePath>
     </parent>
 
     <artifactId>lancedb-core</artifactId>
-    <name>${project.artifactId}</name>
-    <description>LanceDB Core</description>
+    <name>LanceDB Core</name>
     <packaging>jar</packaging>
-    <properties>
-        <rust.release.build>false</rust.release.build>
-    </properties>
 
     <dependencies>
-        <dependency>
-            <groupId>com.lancedb</groupId>
-            <artifactId>lance-namespace-core</artifactId>
-            <version>0.0.1</version>
-        </dependency>
         <dependency>
             <groupId>org.apache.arrow</groupId>
             <artifactId>arrow-vector</artifactId>
@@ -77,7 +68,7 @@
                                 </goals>
                                 <configuration>
                                     <path>lancedb-jni</path>
-                                    <release>${rust.release.build}</release>
+                                    <release>true</release>
                                     <!-- Copy native libraries to target/classes for runtime access -->
                                     <copyTo>${project.build.directory}/classes/nativelib</copyTo>
                                     <copyWithPlatformDir>true</copyWithPlatformDir>

java/core/src/main/java/com/lancedb/lancedb/Connection.java

@@ -1,25 +1,16 @@
-/*
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
+// SPDX-License-Identifier: Apache-2.0
+// SPDX-FileCopyrightText: Copyright The LanceDB Authors
+
 package com.lancedb.lancedb;
 
 import io.questdb.jar.jni.JarJniLoader;
-
 import java.io.Closeable;
 import java.util.List;
 import java.util.Optional;
 
-/** Represents LanceDB database. */
+/**
+ * Represents LanceDB database.
+ */
 public class Connection implements Closeable {
   static {
     JarJniLoader.loadLib(Connection.class, "/nativelib", "lancedb_jni");
@@ -27,11 +18,14 @@ public class Connection implements Closeable {
 
   private long nativeConnectionHandle;
 
-  /** Connect to a LanceDB instance. */
+  /**
+   * Connect to a LanceDB instance.
+   */
   public static native Connection connect(String uri);
 
   /**
-   * Get the names of all tables in the database. The names are sorted in ascending order.
+   * Get the names of all tables in the database. The names are sorted in
+   * ascending order.
    *
    * @return the table names
    */
@@ -40,7 +34,8 @@ public class Connection implements Closeable {
   }
 
   /**
-   * Get the names of filtered tables in the database. The names are sorted in ascending order.
+   * Get the names of filtered tables in the database. The names are sorted in
+   * ascending order.
    *
    * @param limit The number of results to return.
    * @return the table names
@@ -50,11 +45,12 @@ public class Connection implements Closeable {
   }
 
   /**
-   * Get the names of filtered tables in the database. The names are sorted in ascending order.
+   * Get the names of filtered tables in the database. The names are sorted in
+   * ascending order.
    *
    * @param startAfter If present, only return names that come lexicographically after the supplied
-   *     value. This can be combined with limit to implement pagination by setting this to the last
-   *     table name from the previous page.
+   *                   value. This can be combined with limit to implement pagination
+   *                   by setting this to the last table name from the previous page.
    * @return the table names
    */
   public List<String> tableNames(String startAfter) {
@@ -62,11 +58,12 @@ public class Connection implements Closeable {
   }
 
   /**
-   * Get the names of filtered tables in the database. The names are sorted in ascending order.
+   * Get the names of filtered tables in the database. The names are sorted in
+   * ascending order.
    *
    * @param startAfter If present, only return names that come lexicographically after the supplied
-   *     value. This can be combined with limit to implement pagination by setting this to the last
-   *     table name from the previous page.
+   *                   value. This can be combined with limit to implement pagination
+   *                   by setting this to the last table name from the previous page.
    * @param limit The number of results to return.
    * @return the table names
    */
@@ -75,19 +72,22 @@ public class Connection implements Closeable {
   }
 
   /**
-   * Get the names of filtered tables in the database. The names are sorted in ascending order.
+   * Get the names of filtered tables in the database. The names are sorted in
+   * ascending order.
    *
    * @param startAfter If present, only return names that come lexicographically after the supplied
-   *     value. This can be combined with limit to implement pagination by setting this to the last
-   *     table name from the previous page.
+   *                   value. This can be combined with limit to implement pagination
+   *                   by setting this to the last table name from the previous page.
    * @param limit The number of results to return.
    * @return the table names
    */
-  public native List<String> tableNames(Optional<String> startAfter, Optional<Integer> limit);
+  public native List<String> tableNames(
+      Optional<String> startAfter, Optional<Integer> limit);
 
   /**
-   * Closes this connection and releases any system resources associated with it. If the connection
-   * is already closed, then invoking this method has no effect.
+   * Closes this connection and releases any system resources associated with it. If
+   * the connection is
+   * already closed, then invoking this method has no effect.
    */
   @Override
   public void close() {
@@ -98,7 +98,8 @@ public class Connection implements Closeable {
   }
 
   /**
-   * Native method to release the Lance connection resources associated with the given handle.
+   * Native method to release the Lance connection resources associated with the
+   * given handle.
    *
    * @param handle The native handle to the connection resource.
    */

java/core/src/test/java/com/lancedb/lancedb/ConnectionTest.java

@@ -1,35 +1,27 @@
-/*
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
+// SPDX-License-Identifier: Apache-2.0
+// SPDX-FileCopyrightText: Copyright The LanceDB Authors
 package com.lancedb.lancedb;
 
-import org.junit.jupiter.api.BeforeAll;
-import org.junit.jupiter.api.Test;
-import org.junit.jupiter.api.io.TempDir;
-
-import java.net.URL;
-import java.nio.file.Path;
-import java.util.List;
-
 import static org.junit.jupiter.api.Assertions.assertEquals;
 import static org.junit.jupiter.api.Assertions.assertTrue;
 
+import java.nio.file.Path;
+import java.util.List;
+import java.net.URL;
+import org.junit.jupiter.api.BeforeAll;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.api.io.TempDir;
+
 public class ConnectionTest {
   private static final String[] TABLE_NAMES = {
-    "dataset_version", "new_empty_dataset", "test", "write_stream"
+      "dataset_version",
+      "new_empty_dataset",
+      "test",
+      "write_stream"
   };
 
-  @TempDir static Path tempDir; // Temporary directory for the tests
+  @TempDir
+  static Path tempDir; // Temporary directory for the tests
   private static URL lanceDbURL;
 
   @BeforeAll
@@ -61,21 +53,18 @@ public class ConnectionTest {
   @Test
   void tableNamesStartAfter() {
     try (Connection conn = Connection.connect(lanceDbURL.toString())) {
-      assertTableNamesStartAfter(
-          conn, TABLE_NAMES[0], 3, TABLE_NAMES[1], TABLE_NAMES[2], TABLE_NAMES[3]);
+      assertTableNamesStartAfter(conn, TABLE_NAMES[0], 3, TABLE_NAMES[1], TABLE_NAMES[2], TABLE_NAMES[3]);
       assertTableNamesStartAfter(conn, TABLE_NAMES[1], 2, TABLE_NAMES[2], TABLE_NAMES[3]);
       assertTableNamesStartAfter(conn, TABLE_NAMES[2], 1, TABLE_NAMES[3]);
       assertTableNamesStartAfter(conn, TABLE_NAMES[3], 0);
-      assertTableNamesStartAfter(
-          conn, "a_dataset", 4, TABLE_NAMES[0], TABLE_NAMES[1], TABLE_NAMES[2], TABLE_NAMES[3]);
+      assertTableNamesStartAfter(conn, "a_dataset", 4, TABLE_NAMES[0], TABLE_NAMES[1], TABLE_NAMES[2], TABLE_NAMES[3]);
       assertTableNamesStartAfter(conn, "o_dataset", 2, TABLE_NAMES[2], TABLE_NAMES[3]);
       assertTableNamesStartAfter(conn, "v_dataset", 1, TABLE_NAMES[3]);
       assertTableNamesStartAfter(conn, "z_dataset", 0);
     }
   }
 
-  private void assertTableNamesStartAfter(
-      Connection conn, String startAfter, int expectedSize, String... expectedNames) {
+  private void assertTableNamesStartAfter(Connection conn, String startAfter, int expectedSize, String... expectedNames) {
     List<String> tableNames = conn.tableNames(startAfter);
     assertEquals(expectedSize, tableNames.size());
     for (int i = 0; i < expectedNames.length; i++) {
@@ -85,7 +74,7 @@ public class ConnectionTest {
 
   @Test
   void tableNamesLimit() {
-    try (Connection conn = Connection.connect(lanceDbURL.toString())) {
+      try (Connection conn = Connection.connect(lanceDbURL.toString())) {
       for (int i = 0; i <= TABLE_NAMES.length; i++) {
         List<String> tableNames = conn.tableNames(i);
         assertEquals(i, tableNames.size());

java/lance-namespace/pom.xml

@@ -1,26 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-
-<project xmlns="http://maven.apache.org/POM/4.0.0"
-    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
-    <modelVersion>4.0.0</modelVersion>
-
-    <parent>
-        <groupId>com.lancedb</groupId>
-        <artifactId>lancedb-parent</artifactId>
-        <version>0.21.2-beta.0</version>
-        <relativePath>../pom.xml</relativePath>
-    </parent>
-
-    <artifactId>lancedb-lance-namespace</artifactId>
-    <name>${project.artifactId}</name>
-    <description>LanceDB Java Integration with Lance Namespace</description>
-    <packaging>jar</packaging>
-
-    <dependencies>
-        <dependency>
-            <groupId>com.lancedb</groupId>
-            <artifactId>lance-namespace-core</artifactId>
-        </dependency>
-    </dependencies>
-</project>

java/lance-namespace/src/main/java/com/lancedb/lancedb/LanceDbRestNamespaces.java

@@ -1,146 +0,0 @@
-/*
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-package com.lancedb.lancedb;
-
-import com.lancedb.lance.namespace.LanceRestNamespace;
-import com.lancedb.lance.namespace.client.apache.ApiClient;
-
-import java.util.HashMap;
-import java.util.Map;
-import java.util.Optional;
-
-/** Util class to help construct a {@link LanceRestNamespace} for LanceDB. */
-public class LanceDbRestNamespaces {
-  private static final String DEFAULT_REGION = "us-east-1";
-  private static final String CLOUD_URL_PATTERN = "https://%s.%s.api.lancedb.com";
-
-  private String apiKey;
-  private String database;
-  private Optional<String> hostOverride = Optional.empty();
-  private Optional<String> region = Optional.empty();
-  private Map<String, String> additionalConfig = new HashMap<>();
-
-  private LanceDbRestNamespaces() {}
-
-  /**
-   * Create a new builder instance.
-   *
-   * @return A new LanceRestNamespaceBuilder
-   */
-  public static LanceDbRestNamespaces builder() {
-    return new LanceDbRestNamespaces();
-  }
-
-  /**
-   * Set the API key (required).
-   *
-   * @param apiKey The LanceDB API key
-   * @return This builder
-   */
-  public LanceDbRestNamespaces apiKey(String apiKey) {
-    if (apiKey == null || apiKey.trim().isEmpty()) {
-      throw new IllegalArgumentException("API key cannot be null or empty");
-    }
-    this.apiKey = apiKey;
-    return this;
-  }
-
-  /**
-   * Set the database name (required).
-   *
-   * @param database The database name
-   * @return This builder
-   */
-  public LanceDbRestNamespaces database(String database) {
-    if (database == null || database.trim().isEmpty()) {
-      throw new IllegalArgumentException("Database cannot be null or empty");
-    }
-    this.database = database;
-    return this;
-  }
-
-  /**
-   * Set a custom host override (optional). When set, this overrides the default LanceDB Cloud URL
-   * construction. Use this for LanceDB Enterprise deployments.
-   *
-   * @param hostOverride The complete base URL (e.g., "http://your-vpc-endpoint:80")
-   * @return This builder
-   */
-  public LanceDbRestNamespaces hostOverride(String hostOverride) {
-    this.hostOverride = Optional.ofNullable(hostOverride);
-    return this;
-  }
-
-  /**
-   * Set the region for LanceDB Cloud (optional). Defaults to "us-east-1" if not specified. This is
-   * ignored when hostOverride is set.
-   *
-   * @param region The AWS region (e.g., "us-east-1", "eu-west-1")
-   * @return This builder
-   */
-  public LanceDbRestNamespaces region(String region) {
-    this.region = Optional.ofNullable(region);
-    return this;
-  }
-
-  /**
-   * Add additional configuration parameters.
-   *
-   * @param key The configuration key
-   * @param value The configuration value
-   * @return This builder
-   */
-  public LanceDbRestNamespaces config(String key, String value) {
-    this.additionalConfig.put(key, value);
-    return this;
-  }
-
-  /**
-   * Build the LanceRestNamespace instance.
-   *
-   * @return A configured LanceRestNamespace
-   * @throws IllegalStateException if required parameters are missing
-   */
-  public LanceRestNamespace build() {
-    // Validate required fields
-    if (apiKey == null) {
-      throw new IllegalStateException("API key is required");
-    }
-    if (database == null) {
-      throw new IllegalStateException("Database is required");
-    }
-
-    // Build configuration map
-    Map<String, String> config = new HashMap<>(additionalConfig);
-    config.put("headers.x-lancedb-database", database);
-    config.put("headers.x-api-key", apiKey);
-
-    // Determine base URL
-    String baseUrl;
-    if (hostOverride.isPresent()) {
-      baseUrl = hostOverride.get();
-      config.put("host_override", hostOverride.get());
-    } else {
-      String effectiveRegion = region.orElse(DEFAULT_REGION);
-      baseUrl = String.format(CLOUD_URL_PATTERN, database, effectiveRegion);
-      config.put("region", effectiveRegion);
-    }
-
-    // Create and configure ApiClient
-    ApiClient apiClient = new ApiClient();
-    apiClient.setBasePath(baseUrl);
-
-    return new LanceRestNamespace(apiClient, config);
-  }
-}

java/mvnw

@@ -1,259 +0,0 @@
-#!/bin/sh
-# ----------------------------------------------------------------------------
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-# ----------------------------------------------------------------------------
-
-# ----------------------------------------------------------------------------
-# Apache Maven Wrapper startup batch script, version 3.3.2
-#
-# Optional ENV vars
-# -----------------
-#   JAVA_HOME - location of a JDK home dir, required when download maven via java source
-#   MVNW_REPOURL - repo url base for downloading maven distribution
-#   MVNW_USERNAME/MVNW_PASSWORD - user and password for downloading maven
-#   MVNW_VERBOSE - true: enable verbose log; debug: trace the mvnw script; others: silence the output
-# ----------------------------------------------------------------------------
-
-set -euf
-[ "${MVNW_VERBOSE-}" != debug ] || set -x
-
-# OS specific support.
-native_path() { printf %s\\n "$1"; }
-case "$(uname)" in
-CYGWIN* | MINGW*)
-  [ -z "${JAVA_HOME-}" ] || JAVA_HOME="$(cygpath --unix "$JAVA_HOME")"
-  native_path() { cygpath --path --windows "$1"; }
-  ;;
-esac
-
-# set JAVACMD and JAVACCMD
-set_java_home() {
-  # For Cygwin and MinGW, ensure paths are in Unix format before anything is touched
-  if [ -n "${JAVA_HOME-}" ]; then
-    if [ -x "$JAVA_HOME/jre/sh/java" ]; then
-      # IBM's JDK on AIX uses strange locations for the executables
-      JAVACMD="$JAVA_HOME/jre/sh/java"
-      JAVACCMD="$JAVA_HOME/jre/sh/javac"
-    else
-      JAVACMD="$JAVA_HOME/bin/java"
-      JAVACCMD="$JAVA_HOME/bin/javac"
-
-      if [ ! -x "$JAVACMD" ] || [ ! -x "$JAVACCMD" ]; then
-        echo "The JAVA_HOME environment variable is not defined correctly, so mvnw cannot run." >&2
-        echo "JAVA_HOME is set to \"$JAVA_HOME\", but \"\$JAVA_HOME/bin/java\" or \"\$JAVA_HOME/bin/javac\" does not exist." >&2
-        return 1
-      fi
-    fi
-  else
-    JAVACMD="$(
-      'set' +e
-      'unset' -f command 2>/dev/null
-      'command' -v java
-    )" || :
-    JAVACCMD="$(
-      'set' +e
-      'unset' -f command 2>/dev/null
-      'command' -v javac
-    )" || :
-
-    if [ ! -x "${JAVACMD-}" ] || [ ! -x "${JAVACCMD-}" ]; then
-      echo "The java/javac command does not exist in PATH nor is JAVA_HOME set, so mvnw cannot run." >&2
-      return 1
-    fi
-  fi
-}
-
-# hash string like Java String::hashCode
-hash_string() {
-  str="${1:-}" h=0
-  while [ -n "$str" ]; do
-    char="${str%"${str#?}"}"
-    h=$(((h * 31 + $(LC_CTYPE=C printf %d "'$char")) % 4294967296))
-    str="${str#?}"
-  done
-  printf %x\\n $h
-}
-
-verbose() { :; }
-[ "${MVNW_VERBOSE-}" != true ] || verbose() { printf %s\\n "${1-}"; }
-
-die() {
-  printf %s\\n "$1" >&2
-  exit 1
-}
-
-trim() {
-  # MWRAPPER-139:
-  #   Trims trailing and leading whitespace, carriage returns, tabs, and linefeeds.
-  #   Needed for removing poorly interpreted newline sequences when running in more
-  #   exotic environments such as mingw bash on Windows.
-  printf "%s" "${1}" | tr -d '[:space:]'
-}
-
-# parse distributionUrl and optional distributionSha256Sum, requires .mvn/wrapper/maven-wrapper.properties
-while IFS="=" read -r key value; do
-  case "${key-}" in
-  distributionUrl) distributionUrl=$(trim "${value-}") ;;
-  distributionSha256Sum) distributionSha256Sum=$(trim "${value-}") ;;
-  esac
-done <"${0%/*}/.mvn/wrapper/maven-wrapper.properties"
-[ -n "${distributionUrl-}" ] || die "cannot read distributionUrl property in ${0%/*}/.mvn/wrapper/maven-wrapper.properties"
-
-case "${distributionUrl##*/}" in
-maven-mvnd-*bin.*)
-  MVN_CMD=mvnd.sh _MVNW_REPO_PATTERN=/maven/mvnd/
-  case "${PROCESSOR_ARCHITECTURE-}${PROCESSOR_ARCHITEW6432-}:$(uname -a)" in
-  *AMD64:CYGWIN* | *AMD64:MINGW*) distributionPlatform=windows-amd64 ;;
-  :Darwin*x86_64) distributionPlatform=darwin-amd64 ;;
-  :Darwin*arm64) distributionPlatform=darwin-aarch64 ;;
-  :Linux*x86_64*) distributionPlatform=linux-amd64 ;;
-  *)
-    echo "Cannot detect native platform for mvnd on $(uname)-$(uname -m), use pure java version" >&2
-    distributionPlatform=linux-amd64
-    ;;
-  esac
-  distributionUrl="${distributionUrl%-bin.*}-$distributionPlatform.zip"
-  ;;
-maven-mvnd-*) MVN_CMD=mvnd.sh _MVNW_REPO_PATTERN=/maven/mvnd/ ;;
-*) MVN_CMD="mvn${0##*/mvnw}" _MVNW_REPO_PATTERN=/org/apache/maven/ ;;
-esac
-
-# apply MVNW_REPOURL and calculate MAVEN_HOME
-# maven home pattern: ~/.m2/wrapper/dists/{apache-maven-<version>,maven-mvnd-<version>-<platform>}/<hash>
-[ -z "${MVNW_REPOURL-}" ] || distributionUrl="$MVNW_REPOURL$_MVNW_REPO_PATTERN${distributionUrl#*"$_MVNW_REPO_PATTERN"}"
-distributionUrlName="${distributionUrl##*/}"
-distributionUrlNameMain="${distributionUrlName%.*}"
-distributionUrlNameMain="${distributionUrlNameMain%-bin}"
-MAVEN_USER_HOME="${MAVEN_USER_HOME:-${HOME}/.m2}"
-MAVEN_HOME="${MAVEN_USER_HOME}/wrapper/dists/${distributionUrlNameMain-}/$(hash_string "$distributionUrl")"
-
-exec_maven() {
-  unset MVNW_VERBOSE MVNW_USERNAME MVNW_PASSWORD MVNW_REPOURL || :
-  exec "$MAVEN_HOME/bin/$MVN_CMD" "$@" || die "cannot exec $MAVEN_HOME/bin/$MVN_CMD"
-}
-
-if [ -d "$MAVEN_HOME" ]; then
-  verbose "found existing MAVEN_HOME at $MAVEN_HOME"
-  exec_maven "$@"
-fi
-
-case "${distributionUrl-}" in
-*?-bin.zip | *?maven-mvnd-?*-?*.zip) ;;
-*) die "distributionUrl is not valid, must match *-bin.zip or maven-mvnd-*.zip, but found '${distributionUrl-}'" ;;
-esac
-
-# prepare tmp dir
-if TMP_DOWNLOAD_DIR="$(mktemp -d)" && [ -d "$TMP_DOWNLOAD_DIR" ]; then
-  clean() { rm -rf -- "$TMP_DOWNLOAD_DIR"; }
-  trap clean HUP INT TERM EXIT
-else
-  die "cannot create temp dir"
-fi
-
-mkdir -p -- "${MAVEN_HOME%/*}"
-
-# Download and Install Apache Maven
-verbose "Couldn't find MAVEN_HOME, downloading and installing it ..."
-verbose "Downloading from: $distributionUrl"
-verbose "Downloading to: $TMP_DOWNLOAD_DIR/$distributionUrlName"
-
-# select .zip or .tar.gz
-if ! command -v unzip >/dev/null; then
-  distributionUrl="${distributionUrl%.zip}.tar.gz"
-  distributionUrlName="${distributionUrl##*/}"
-fi
-
-# verbose opt
-__MVNW_QUIET_WGET=--quiet __MVNW_QUIET_CURL=--silent __MVNW_QUIET_UNZIP=-q __MVNW_QUIET_TAR=''
-[ "${MVNW_VERBOSE-}" != true ] || __MVNW_QUIET_WGET='' __MVNW_QUIET_CURL='' __MVNW_QUIET_UNZIP='' __MVNW_QUIET_TAR=v
-
-# normalize http auth
-case "${MVNW_PASSWORD:+has-password}" in
-'') MVNW_USERNAME='' MVNW_PASSWORD='' ;;
-has-password) [ -n "${MVNW_USERNAME-}" ] || MVNW_USERNAME='' MVNW_PASSWORD='' ;;
-esac
-
-if [ -z "${MVNW_USERNAME-}" ] && command -v wget >/dev/null; then
-  verbose "Found wget ... using wget"
-  wget ${__MVNW_QUIET_WGET:+"$__MVNW_QUIET_WGET"} "$distributionUrl" -O "$TMP_DOWNLOAD_DIR/$distributionUrlName" || die "wget: Failed to fetch $distributionUrl"
-elif [ -z "${MVNW_USERNAME-}" ] && command -v curl >/dev/null; then
-  verbose "Found curl ... using curl"
-  curl ${__MVNW_QUIET_CURL:+"$__MVNW_QUIET_CURL"} -f -L -o "$TMP_DOWNLOAD_DIR/$distributionUrlName" "$distributionUrl" || die "curl: Failed to fetch $distributionUrl"
-elif set_java_home; then
-  verbose "Falling back to use Java to download"
-  javaSource="$TMP_DOWNLOAD_DIR/Downloader.java"
-  targetZip="$TMP_DOWNLOAD_DIR/$distributionUrlName"
-  cat >"$javaSource" <<-END
-	public class Downloader extends java.net.Authenticator
-	{
-	  protected java.net.PasswordAuthentication getPasswordAuthentication()
-	  {
-	    return new java.net.PasswordAuthentication( System.getenv( "MVNW_USERNAME" ), System.getenv( "MVNW_PASSWORD" ).toCharArray() );
-	  }
-	  public static void main( String[] args ) throws Exception
-	  {
-	    setDefault( new Downloader() );
-	    java.nio.file.Files.copy( java.net.URI.create( args[0] ).toURL().openStream(), java.nio.file.Paths.get( args[1] ).toAbsolutePath().normalize() );
-	  }
-	}
-	END
-  # For Cygwin/MinGW, switch paths to Windows format before running javac and java
-  verbose " - Compiling Downloader.java ..."
-  "$(native_path "$JAVACCMD")" "$(native_path "$javaSource")" || die "Failed to compile Downloader.java"
-  verbose " - Running Downloader.java ..."
-  "$(native_path "$JAVACMD")" -cp "$(native_path "$TMP_DOWNLOAD_DIR")" Downloader "$distributionUrl" "$(native_path "$targetZip")"
-fi
-
-# If specified, validate the SHA-256 sum of the Maven distribution zip file
-if [ -n "${distributionSha256Sum-}" ]; then
-  distributionSha256Result=false
-  if [ "$MVN_CMD" = mvnd.sh ]; then
-    echo "Checksum validation is not supported for maven-mvnd." >&2
-    echo "Please disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties." >&2
-    exit 1
-  elif command -v sha256sum >/dev/null; then
-    if echo "$distributionSha256Sum  $TMP_DOWNLOAD_DIR/$distributionUrlName" | sha256sum -c >/dev/null 2>&1; then
-      distributionSha256Result=true
-    fi
-  elif command -v shasum >/dev/null; then
-    if echo "$distributionSha256Sum  $TMP_DOWNLOAD_DIR/$distributionUrlName" | shasum -a 256 -c >/dev/null 2>&1; then
-      distributionSha256Result=true
-    fi
-  else
-    echo "Checksum validation was requested but neither 'sha256sum' or 'shasum' are available." >&2
-    echo "Please install either command, or disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties." >&2
-    exit 1
-  fi
-  if [ $distributionSha256Result = false ]; then
-    echo "Error: Failed to validate Maven distribution SHA-256, your Maven distribution might be compromised." >&2
-    echo "If you updated your Maven version, you need to update the specified distributionSha256Sum property." >&2
-    exit 1
-  fi
-fi
-
-# unzip and move
-if command -v unzip >/dev/null; then
-  unzip ${__MVNW_QUIET_UNZIP:+"$__MVNW_QUIET_UNZIP"} "$TMP_DOWNLOAD_DIR/$distributionUrlName" -d "$TMP_DOWNLOAD_DIR" || die "failed to unzip"
-else
-  tar xzf${__MVNW_QUIET_TAR:+"$__MVNW_QUIET_TAR"} "$TMP_DOWNLOAD_DIR/$distributionUrlName" -C "$TMP_DOWNLOAD_DIR" || die "failed to untar"
-fi
-printf %s\\n "$distributionUrl" >"$TMP_DOWNLOAD_DIR/$distributionUrlNameMain/mvnw.url"
-mv -- "$TMP_DOWNLOAD_DIR/$distributionUrlNameMain" "$MAVEN_HOME" || [ -d "$MAVEN_HOME" ] || die "fail to move MAVEN_HOME"
-
-clean || :
-exec_maven "$@"

java/pom.xml

@@ -6,10 +6,11 @@
 
     <groupId>com.lancedb</groupId>
     <artifactId>lancedb-parent</artifactId>
-    <version>0.21.2-beta.0</version>
+    <version>0.18.2-beta.0</version>
     <packaging>pom</packaging>
-    <name>${project.artifactId}</name>
-    <description>LanceDB Java SDK Parent POM</description>
+
+    <name>LanceDB Parent</name>
+    <description>LanceDB vector database Java API</description>
     <url>http://lancedb.com/</url>
 
     <developers>
@@ -28,31 +29,10 @@
     <properties>
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
         <arrow.version>15.0.0</arrow.version>
-        <lance-namespace.verison>0.0.1</lance-namespace.verison>
-        <spotless.skip>false</spotless.skip>
-        <spotless.version>2.30.0</spotless.version>
-        <spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
-        <spotless.delimiter>package</spotless.delimiter>
-        <spotless.license.header>
-            /*
-            * Licensed under the Apache License, Version 2.0 (the "License");
-            * you may not use this file except in compliance with the License.
-            * You may obtain a copy of the License at
-            *
-            *     http://www.apache.org/licenses/LICENSE-2.0
-            *
-            * Unless required by applicable law or agreed to in writing, software
-            * distributed under the License is distributed on an "AS IS" BASIS,
-            * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-            * See the License for the specific language governing permissions and
-            * limitations under the License.
-            */
-        </spotless.license.header>
     </properties>
 
     <modules>
         <module>core</module>
-        <module>lance-namespace</module>
     </modules>
 
     <scm>
@@ -63,11 +43,6 @@
 
     <dependencyManagement>
         <dependencies>
-            <dependency>
-                <groupId>com.lancedb</groupId>
-                <artifactId>lance-namespace-core</artifactId>
-                <version>${lance-namespace.verison}</version>
-            </dependency>
             <dependency>
                 <groupId>org.apache.arrow</groupId>
                 <artifactId>arrow-vector</artifactId>
@@ -152,8 +127,7 @@
                 <configuration>
                     <configLocation>google_checks.xml</configLocation>
                     <consoleOutput>true</consoleOutput>
-                    <failsOnError>false</failsOnError>
-                    <failOnViolation>false</failOnViolation>
+                    <failsOnError>true</failsOnError>
                     <violationSeverity>warning</violationSeverity>
                     <linkXRef>false</linkXRef>
                 </configuration>
@@ -167,10 +141,6 @@
                     </execution>
                 </executions>
             </plugin>
-            <plugin>
-                <groupId>com.diffplug.spotless</groupId>
-                <artifactId>spotless-maven-plugin</artifactId>
-            </plugin>
         </plugins>
         <pluginManagement>
             <plugins>
@@ -209,54 +179,6 @@
                     <artifactId>maven-install-plugin</artifactId>
                     <version>2.5.2</version>
                 </plugin>
-                <plugin>
-                    <groupId>com.diffplug.spotless</groupId>
-                    <artifactId>spotless-maven-plugin</artifactId>
-                    <version>${spotless.version}</version>
-                    <configuration>
-                        <skip>${spotless.skip}</skip>
-                        <upToDateChecking>
-                            <enabled>true</enabled>
-                        </upToDateChecking>
-                        <java>
-                            <includes>
-                                <include>src/main/java/**/*.java</include>
-                                <include>src/test/java/**/*.java</include>
-                            </includes>
-                            <googleJavaFormat>
-                                <version>${spotless.java.googlejavaformat.version}</version>
-                                <style>GOOGLE</style>
-                            </googleJavaFormat>
-
-                            <importOrder>
-                                <order>com.lancedb.lance,,javax,java,\#</order>
-                            </importOrder>
-
-                            <removeUnusedImports />
-                        </java>
-                        <scala>
-                            <includes>
-                                <include>src/main/scala/**/*.scala</include>
-                                <include>src/main/scala-*/**/*.scala</include>
-                                <include>src/test/scala/**/*.scala</include>
-                                <include>src/test/scala-*/**/*.scala</include>
-                            </includes>
-                        </scala>
-                        <licenseHeader>
-                            <content>${spotless.license.header}</content>
-                            <delimiter>${spotless.delimiter}</delimiter>
-                        </licenseHeader>
-                    </configuration>
-                    <executions>
-                        <execution>
-                            <id>spotless-check</id>
-                            <phase>validate</phase>
-                            <goals>
-                                <goal>apply</goal>
-                            </goals>
-                        </execution>
-                    </executions>
-                </plugin>
             </plugins>
         </pluginManagement>
     </build>

node/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "vectordb",
-  "version": "0.21.2-beta.0",
+  "version": "0.18.2-beta.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "vectordb",
-      "version": "0.21.2-beta.0",
+      "version": "0.18.2-beta.0",
       "cpu": [
         "x64",
         "arm64"
@@ -52,11 +52,11 @@
         "uuid": "^9.0.0"
       },
       "optionalDependencies": {
-        "@lancedb/vectordb-darwin-arm64": "0.21.2-beta.0",
-        "@lancedb/vectordb-darwin-x64": "0.21.2-beta.0",
-        "@lancedb/vectordb-linux-arm64-gnu": "0.21.2-beta.0",
-        "@lancedb/vectordb-linux-x64-gnu": "0.21.2-beta.0",
-        "@lancedb/vectordb-win32-x64-msvc": "0.21.2-beta.0"
+        "@lancedb/vectordb-darwin-arm64": "0.18.2-beta.0",
+        "@lancedb/vectordb-darwin-x64": "0.18.2-beta.0",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.18.2-beta.0",
+        "@lancedb/vectordb-linux-x64-gnu": "0.18.2-beta.0",
+        "@lancedb/vectordb-win32-x64-msvc": "0.18.2-beta.0"
       },
       "peerDependencies": {
         "@apache-arrow/ts": "^14.0.2",
@@ -327,9 +327,9 @@
       }
     },
     "node_modules/@lancedb/vectordb-darwin-arm64": {
-      "version": "0.21.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.21.2-beta.0.tgz",
-      "integrity": "sha512-RiYqpKuq9v8A4wFuHt1iPNFYjWJ1KgGFLJwQO4ajp9Hee84sDHq8mP0ATgMcc24hiaOUQ1lRRTULjGbHn4NIYw==",
+      "version": "0.18.2-beta.0",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.18.2-beta.0.tgz",
+      "integrity": "sha512-FzIcElkS6R5I5kU1S5m7yLVTB1Duv1XcmZQtVmYl/JjNlfxS1WTtMzdzMqSBFohDcgU2Tkc5+1FpK1B94dUUbg==",
       "cpu": [
         "arm64"
       ],
@@ -340,9 +340,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-darwin-x64": {
-      "version": "0.21.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.21.2-beta.0.tgz",
-      "integrity": "sha512-togdP0YIjMYg/hBRMMxW434i5VB789JWU5o3hWrodbX8olEc0Txqw5Dg9CgIOldBIiCti6uTSQiTo6uldZon1w==",
+      "version": "0.18.2-beta.0",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.18.2-beta.0.tgz",
+      "integrity": "sha512-jv+XludfLNBDm1DjdqyghwDMtd4E+ygwycQpkpK72wyZSh6Qytrgq+4dNi/zCZ3UChFLbKbIxrVxv9yENQn2Pg==",
       "cpu": [
         "x64"
       ],
@@ -353,9 +353,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-linux-arm64-gnu": {
-      "version": "0.21.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.21.2-beta.0.tgz",
-      "integrity": "sha512-ErS4IQDQVTYVATPeOj/dZXQR34eZQ5rAXm3vJdQi5K6X4zCDaIjOhpmnwzPBGT9W1idaBAoDJhtNfsFaJ6/PQQ==",
+      "version": "0.18.2-beta.0",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.18.2-beta.0.tgz",
+      "integrity": "sha512-8/fBpbNYhhpetf/pZv0DyPnQkeAbsiICMyCoRiNu5auvQK4AsGF1XvLWrDi68u9F0GysBKvuatYuGqa/yh+Anw==",
       "cpu": [
         "arm64"
       ],
@@ -366,9 +366,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-linux-x64-gnu": {
-      "version": "0.21.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.21.2-beta.0.tgz",
-      "integrity": "sha512-ycDpyBGbfxtnGGa/RQo5+So6dHALiem1pbYc/LDKKluUJpadtXtEwC61o6hZTcejoYjhEE8ET7vA3OCEJfMFaw==",
+      "version": "0.18.2-beta.0",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.18.2-beta.0.tgz",
+      "integrity": "sha512-7a1Kc/2V2ff4HlLzXyXVdK0Z0VIFUt50v2SBRdlcycJ0NLW9ZqV+9UjB/NAOwMXVgYd7d3rKjACGkQzkpvcyeg==",
       "cpu": [
         "x64"
       ],
@@ -379,9 +379,9 @@
       ]
     },
     "node_modules/@lancedb/vectordb-win32-x64-msvc": {
-      "version": "0.21.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.21.2-beta.0.tgz",
-      "integrity": "sha512-IgVkAP/LiNIQD5P6n/9x3bgQOt5pGJarjtSF8r+ialD95QHmo6tcxrwTy/DlA+H1uI6B6h+sbN0c1KXTh1rYcg==",
+      "version": "0.18.2-beta.0",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.18.2-beta.0.tgz",
+      "integrity": "sha512-EeCiSf2RtJMESnkIca28GI6rAStYj2q9sVIyNCXpmIZSkJVpfQ3iswHGAbHrEfaPl0J1Re9cnRHLLuqkumwiIQ==",
       "cpu": [
         "x64"
       ],
@@ -1184,10 +1184,9 @@
       }
     },
     "node_modules/axios": {
-      "version": "1.8.4",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.8.4.tgz",
-      "integrity": "sha512-eBSYY4Y68NNlHbHBMdeDmKNtDgXWhQsJcGqzO3iLUM0GraQFSS9cVgPX5I9b3lbdFKyYoAEGAZF1DwhTaljNAw==",
-      "license": "MIT",
+      "version": "1.7.7",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.7.tgz",
+      "integrity": "sha512-S4kL7XrjgBmvdGut0sN3yJxqYzrDOnivkBiN0OFs6hLiUam3UPvswUo0kqGyhqUZGEOytHyumEdXsAkgCOUf3Q==",
       "dependencies": {
         "follow-redirects": "^1.15.6",
         "form-data": "^4.0.0",

node/package.json

@@ -1,6 +1,6 @@
 {
   "name": "vectordb",
-  "version": "0.21.2-beta.0",
+  "version": "0.18.2-beta.0",
   "description": " Serverless, low-latency vector database for AI applications",
   "private": false,
   "main": "dist/index.js",
@@ -89,10 +89,10 @@
     }
   },
   "optionalDependencies": {
-    "@lancedb/vectordb-darwin-x64": "0.21.2-beta.0",
-    "@lancedb/vectordb-darwin-arm64": "0.21.2-beta.0",
-    "@lancedb/vectordb-linux-x64-gnu": "0.21.2-beta.0",
-    "@lancedb/vectordb-linux-arm64-gnu": "0.21.2-beta.0",
-    "@lancedb/vectordb-win32-x64-msvc": "0.21.2-beta.0"
+    "@lancedb/vectordb-darwin-x64": "0.18.2-beta.0",
+    "@lancedb/vectordb-darwin-arm64": "0.18.2-beta.0",
+    "@lancedb/vectordb-linux-x64-gnu": "0.18.2-beta.0",
+    "@lancedb/vectordb-linux-arm64-gnu": "0.18.2-beta.0",
+    "@lancedb/vectordb-win32-x64-msvc": "0.18.2-beta.0"
   }
 }

nodejs/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.21.2-beta.0"
+version = "0.18.2-beta.0"
 license.workspace = true
 description.workspace = true
 repository.workspace = true
@@ -28,10 +28,6 @@ napi-derive = "2.16.4"
 lzma-sys = { version = "*", features = ["static"] }
 log.workspace = true
 
-# Workaround for build failure until we can fix it.
-aws-lc-sys = "=0.28.0"
-aws-lc-rs = "=1.13.0"
-
 [build-dependencies]
 napi-build = "2.1"
 

nodejs/__test__/arrow.test.ts

@@ -1,7 +1,7 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors
 
-import { Bool, Field, Int32, List, Schema, Struct, Utf8 } from "apache-arrow";
+import { Schema } from "apache-arrow";
 
 import * as arrow15 from "apache-arrow-15";
 import * as arrow16 from "apache-arrow-16";
@@ -11,12 +11,10 @@ import * as arrow18 from "apache-arrow-18";
 import {
   convertToTable,
   fromBufferToRecordBatch,
-  fromDataToBuffer,
   fromRecordBatchToBuffer,
   fromTableToBuffer,
   makeArrowTable,
   makeEmptyTable,
-  tableFromIPC,
 } from "../lancedb/arrow";
 import {
   EmbeddingFunction,
@@ -376,276 +374,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
         expect(table2.numRows).toBe(4);
         expect(table2.schema).toEqual(schema);
       });
-
-      it("will handle missing columns in schema alignment when using embeddings", async function () {
-        const schema = new Schema(
-          [
-            new Field("domain", new Utf8(), true),
-            new Field("name", new Utf8(), true),
-            new Field("description", new Utf8(), true),
-          ],
-          new Map([["embedding_functions", JSON.stringify([])]]),
-        );
-
-        const data = [
-          { domain: "google.com", name: "Google" },
-          { domain: "facebook.com", name: "Facebook" },
-        ];
-
-        const table = await convertToTable(data, undefined, { schema });
-
-        expect(table.numCols).toBe(3);
-        expect(table.numRows).toBe(2);
-
-        const descriptionColumn = table.getChild("description");
-        expect(descriptionColumn).toBeDefined();
-        expect(descriptionColumn?.nullCount).toBe(2);
-        expect(descriptionColumn?.toArray()).toEqual([null, null]);
-
-        expect(table.getChild("domain")?.toArray()).toEqual([
-          "google.com",
-          "facebook.com",
-        ]);
-        expect(table.getChild("name")?.toArray()).toEqual([
-          "Google",
-          "Facebook",
-        ]);
-      });
-
-      it("will handle completely missing nested struct columns", async function () {
-        const schema = new Schema(
-          [
-            new Field("id", new Utf8(), true),
-            new Field("name", new Utf8(), true),
-            new Field(
-              "metadata",
-              new Struct([
-                new Field("version", new Int32(), true),
-                new Field("author", new Utf8(), true),
-                new Field(
-                  "tags",
-                  new List(new Field("item", new Utf8(), true)),
-                  true,
-                ),
-              ]),
-              true,
-            ),
-          ],
-          new Map([["embedding_functions", JSON.stringify([])]]),
-        );
-
-        const data = [
-          { id: "doc1", name: "Document 1" },
-          { id: "doc2", name: "Document 2" },
-        ];
-
-        const table = await convertToTable(data, undefined, { schema });
-
-        expect(table.numCols).toBe(3);
-        expect(table.numRows).toBe(2);
-
-        const buf = await fromTableToBuffer(table);
-        const retrievedTable = tableFromIPC(buf);
-
-        const rows = [];
-        for (let i = 0; i < retrievedTable.numRows; i++) {
-          rows.push(retrievedTable.get(i));
-        }
-
-        expect(rows[0].metadata.version).toBe(null);
-        expect(rows[0].metadata.author).toBe(null);
-        expect(rows[0].metadata.tags).toBe(null);
-        expect(rows[0].id).toBe("doc1");
-        expect(rows[0].name).toBe("Document 1");
-      });
-
-      it("will handle partially missing nested struct fields", async function () {
-        const schema = new Schema(
-          [
-            new Field("id", new Utf8(), true),
-            new Field(
-              "metadata",
-              new Struct([
-                new Field("version", new Int32(), true),
-                new Field("author", new Utf8(), true),
-                new Field("created_at", new Utf8(), true),
-              ]),
-              true,
-            ),
-          ],
-          new Map([["embedding_functions", JSON.stringify([])]]),
-        );
-
-        const data = [
-          { id: "doc1", metadata: { version: 1, author: "Alice" } },
-          { id: "doc2", metadata: { version: 2 } },
-        ];
-
-        const table = await convertToTable(data, undefined, { schema });
-
-        expect(table.numCols).toBe(2);
-        expect(table.numRows).toBe(2);
-
-        const metadataColumn = table.getChild("metadata");
-        expect(metadataColumn).toBeDefined();
-        expect(metadataColumn?.type.toString()).toBe(
-          "Struct<{version:Int32, author:Utf8, created_at:Utf8}>",
-        );
-      });
-
-      it("will handle multiple levels of nested structures", async function () {
-        const schema = new Schema(
-          [
-            new Field("id", new Utf8(), true),
-            new Field(
-              "config",
-              new Struct([
-                new Field("database", new Utf8(), true),
-                new Field(
-                  "connection",
-                  new Struct([
-                    new Field("host", new Utf8(), true),
-                    new Field("port", new Int32(), true),
-                    new Field(
-                      "ssl",
-                      new Struct([
-                        new Field("enabled", new Bool(), true),
-                        new Field("cert_path", new Utf8(), true),
-                      ]),
-                      true,
-                    ),
-                  ]),
-                  true,
-                ),
-              ]),
-              true,
-            ),
-          ],
-          new Map([["embedding_functions", JSON.stringify([])]]),
-        );
-
-        const data = [
-          {
-            id: "config1",
-            config: {
-              database: "postgres",
-              connection: { host: "localhost" },
-            },
-          },
-          {
-            id: "config2",
-            config: { database: "mysql" },
-          },
-          {
-            id: "config3",
-          },
-        ];
-
-        const table = await convertToTable(data, undefined, { schema });
-
-        expect(table.numCols).toBe(2);
-        expect(table.numRows).toBe(3);
-
-        const configColumn = table.getChild("config");
-        expect(configColumn).toBeDefined();
-        expect(configColumn?.type.toString()).toBe(
-          "Struct<{database:Utf8, connection:Struct<{host:Utf8, port:Int32, ssl:Struct<{enabled:Bool, cert_path:Utf8}>}>}>",
-        );
-      });
-
-      it("will handle missing columns in Arrow table input when using embeddings", async function () {
-        const incompleteTable = makeArrowTable([
-          { domain: "google.com", name: "Google" },
-          { domain: "facebook.com", name: "Facebook" },
-        ]);
-
-        const schema = new Schema(
-          [
-            new Field("domain", new Utf8(), true),
-            new Field("name", new Utf8(), true),
-            new Field("description", new Utf8(), true),
-          ],
-          new Map([["embedding_functions", JSON.stringify([])]]),
-        );
-
-        const buf = await fromDataToBuffer(incompleteTable, undefined, schema);
-
-        expect(buf.byteLength).toBeGreaterThan(0);
-
-        const retrievedTable = tableFromIPC(buf);
-        expect(retrievedTable.numCols).toBe(3);
-        expect(retrievedTable.numRows).toBe(2);
-
-        const descriptionColumn = retrievedTable.getChild("description");
-        expect(descriptionColumn).toBeDefined();
-        expect(descriptionColumn?.nullCount).toBe(2);
-        expect(descriptionColumn?.toArray()).toEqual([null, null]);
-
-        expect(retrievedTable.getChild("domain")?.toArray()).toEqual([
-          "google.com",
-          "facebook.com",
-        ]);
-        expect(retrievedTable.getChild("name")?.toArray()).toEqual([
-          "Google",
-          "Facebook",
-        ]);
-      });
-
-      it("should correctly retain values in nested struct fields", async function () {
-        const testData = [
-          {
-            id: "doc1",
-            vector: [1, 2, 3],
-            metadata: {
-              filePath: "/path/to/file1.ts",
-              startLine: 10,
-              endLine: 20,
-              text: "function test() { return true; }",
-            },
-          },
-          {
-            id: "doc2",
-            vector: [4, 5, 6],
-            metadata: {
-              filePath: "/path/to/file2.ts",
-              startLine: 30,
-              endLine: 40,
-              text: "function test2() { return false; }",
-            },
-          },
-        ];
-
-        const table = makeArrowTable(testData);
-
-        const metadataField = table.schema.fields.find(
-          (f) => f.name === "metadata",
-        );
-        expect(metadataField).toBeDefined();
-        // biome-ignore lint/suspicious/noExplicitAny: accessing fields in different Arrow versions
-        const childNames = metadataField?.type.children.map((c: any) => c.name);
-        expect(childNames).toEqual([
-          "filePath",
-          "startLine",
-          "endLine",
-          "text",
-        ]);
-
-        const buf = await fromTableToBuffer(table);
-        const retrievedTable = tableFromIPC(buf);
-
-        const rows = [];
-        for (let i = 0; i < retrievedTable.numRows; i++) {
-          rows.push(retrievedTable.get(i));
-        }
-
-        const firstRow = rows[0];
-        expect(firstRow.id).toBe("doc1");
-        expect(firstRow.vector.toJSON()).toEqual([1, 2, 3]);
-        expect(firstRow.metadata.filePath).toBe("/path/to/file1.ts");
-        expect(firstRow.metadata.startLine).toBe(10);
-        expect(firstRow.metadata.endLine).toBe(20);
-        expect(firstRow.metadata.text).toBe("function test() { return true; }");
-      });
     });
 
     class DummyEmbedding extends EmbeddingFunction<string> {
@@ -799,14 +527,14 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
         ).rejects.toThrow("column vector was missing");
       });
 
-      it("will skip embedding application if already applied", async function () {
+      it("will provide a nice error if run twice", async function () {
         const records = sampleRecords();
         const table = await convertToTable(records, dummyEmbeddingConfig);
 
         // fromTableToBuffer will try and apply the embeddings again
-        // but should skip since the column already has non-null values
-        const result = await fromTableToBuffer(table, dummyEmbeddingConfig);
-        expect(result.byteLength).toBeGreaterThan(0);
+        await expect(
+          fromTableToBuffer(table, dummyEmbeddingConfig),
+        ).rejects.toThrow("already existed");
       });
     });
 

nodejs/__test__/table.test.ts

@@ -10,7 +10,7 @@ import * as arrow16 from "apache-arrow-16";
 import * as arrow17 from "apache-arrow-17";
 import * as arrow18 from "apache-arrow-18";
 
-import { MatchQuery, PhraseQuery, Table, connect } from "../lancedb";
+import { Table, connect } from "../lancedb";
 import {
   Table as ArrowTable,
   Field,
@@ -33,13 +33,6 @@ import {
   register,
 } from "../lancedb/embedding";
 import { Index } from "../lancedb/indices";
-import {
-  BooleanQuery,
-  Occur,
-  Operator,
-  instanceOfFullTextQuery,
-} from "../lancedb/query";
-import exp = require("constants");
 
 describe.each([arrow15, arrow16, arrow17, arrow18])(
   "Given a table",
@@ -77,33 +70,8 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
       await expect(table.countRows()).resolves.toBe(3);
     });
 
-    it("should show table stats", async () => {
-      await table.add([{ id: 1 }, { id: 2 }]);
-      await table.add([{ id: 1 }]);
-      await expect(table.stats()).resolves.toEqual({
-        fragmentStats: {
-          lengths: {
-            max: 2,
-            mean: 1,
-            min: 1,
-            p25: 1,
-            p50: 2,
-            p75: 2,
-            p99: 2,
-          },
-          numFragments: 2,
-          numSmallFragments: 2,
-        },
-        numIndices: 0,
-        numRows: 3,
-        totalBytes: 24,
-      });
-    });
-
     it("should overwrite data if asked", async () => {
-      const addRes = await table.add([{ id: 1 }, { id: 2 }]);
-      expect(addRes).toHaveProperty("version");
-      expect(addRes.version).toBe(2);
+      await table.add([{ id: 1 }, { id: 2 }]);
       await table.add([{ id: 1 }], { mode: "overwrite" });
       await expect(table.countRows()).resolves.toBe(1);
     });
@@ -119,11 +87,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
       await table.add([{ id: 1 }]);
       expect(await table.countRows("id == 1")).toBe(1);
       expect(await table.countRows("id == 7")).toBe(0);
-      const updateRes = await table.update({ id: "7" });
-      expect(updateRes).toHaveProperty("version");
-      expect(updateRes.version).toBe(3);
-      expect(updateRes).toHaveProperty("rowsUpdated");
-      expect(updateRes.rowsUpdated).toBe(1);
+      await table.update({ id: "7" });
       expect(await table.countRows("id == 1")).toBe(0);
       expect(await table.countRows("id == 7")).toBe(1);
       await table.add([{ id: 2 }]);
@@ -350,17 +314,11 @@ describe("merge insert", () => {
       { a: 3, b: "y" },
       { a: 4, b: "z" },
     ];
-    const mergeInsertRes = await table
+    await table
       .mergeInsert("a")
       .whenMatchedUpdateAll()
       .whenNotMatchedInsertAll()
-      .execute(newData, { timeoutMs: 10_000 });
-    expect(mergeInsertRes).toHaveProperty("version");
-    expect(mergeInsertRes.version).toBe(2);
-    expect(mergeInsertRes.numInsertedRows).toBe(1);
-    expect(mergeInsertRes.numUpdatedRows).toBe(2);
-    expect(mergeInsertRes.numDeletedRows).toBe(0);
-
+      .execute(newData);
     const expected = [
       { a: 1, b: "a" },
       { a: 2, b: "x" },
@@ -368,9 +326,9 @@ describe("merge insert", () => {
       { a: 4, b: "z" },
     ];
 
-    const result = (await table.toArrow()).toArray().sort((a, b) => a.a - b.a);
-
-    expect(result.map((row) => ({ ...row }))).toEqual(expected);
+    expect(
+      JSON.parse(JSON.stringify((await table.toArrow()).toArray())),
+    ).toEqual(expected);
   });
   test("conditional update", async () => {
     const newData = [
@@ -378,12 +336,10 @@ describe("merge insert", () => {
       { a: 3, b: "y" },
       { a: 4, b: "z" },
     ];
-    const mergeInsertRes = await table
+    await table
       .mergeInsert("a")
       .whenMatchedUpdateAll({ where: "target.b = 'b'" })
       .execute(newData);
-    expect(mergeInsertRes).toHaveProperty("version");
-    expect(mergeInsertRes.version).toBe(2);
 
     const expected = [
       { a: 1, b: "a" },
@@ -468,20 +424,6 @@ describe("merge insert", () => {
     res = res.sort((a, b) => a.a - b.a);
     expect(res).toEqual(expected);
   });
-
-  test("timeout", async () => {
-    const newData = [
-      { a: 2, b: "x" },
-      { a: 4, b: "z" },
-    ];
-    await expect(
-      table
-        .mergeInsert("a")
-        .whenMatchedUpdateAll()
-        .whenNotMatchedInsertAll()
-        .execute(newData, { timeoutMs: 0 }),
-    ).rejects.toThrow("merge insert timed out");
-  });
 });
 
 describe("When creating an index", () => {
@@ -559,46 +501,11 @@ describe("When creating an index", () => {
     rst = await tbl.query().limit(2).offset(1).nearestTo(queryVec).toArrow();
     expect(rst.numRows).toBe(1);
 
-    // test nprobes
-    rst = await tbl.query().nearestTo(queryVec).limit(2).nprobes(50).toArrow();
-    expect(rst.numRows).toBe(2);
-    rst = await tbl
-      .query()
-      .nearestTo(queryVec)
-      .limit(2)
-      .minimumNprobes(15)
-      .toArrow();
-    expect(rst.numRows).toBe(2);
-    rst = await tbl
-      .query()
-      .nearestTo(queryVec)
-      .limit(2)
-      .minimumNprobes(10)
-      .maximumNprobes(20)
-      .toArrow();
-    expect(rst.numRows).toBe(2);
-
-    expect(() => tbl.query().nearestTo(queryVec).minimumNprobes(0)).toThrow(
-      "Invalid input, minimum_nprobes must be greater than 0",
-    );
-    expect(() => tbl.query().nearestTo(queryVec).maximumNprobes(5)).toThrow(
-      "Invalid input, maximum_nprobes must be greater than minimum_nprobes",
-    );
-
     await tbl.dropIndex("vec_idx");
     const indices2 = await tbl.listIndices();
     expect(indices2.length).toBe(0);
   });
 
-  it("should wait for index readiness", async () => {
-    // Create an index and then wait for it to be ready
-    await tbl.createIndex("vec");
-    const indices = await tbl.listIndices();
-    expect(indices.length).toBeGreaterThan(0);
-    const idxName = indices[0].name;
-    await expect(tbl.waitForIndex([idxName], 5)).resolves.toBeUndefined();
-  });
-
   it("should search with distance range", async () => {
     await tbl.createIndex("vec");
 
@@ -726,23 +633,6 @@ describe("When creating an index", () => {
     expect(plan2).not.toMatch("LanceScan");
   });
 
-  it("should be able to run analyze plan", async () => {
-    await tbl.createIndex("vec");
-    await tbl.add([
-      {
-        id: 300,
-        vec: Array(32)
-          .fill(1)
-          .map(() => Math.random()),
-        tags: [],
-      },
-    ]);
-
-    const plan = await tbl.query().nearestTo(queryVec).analyzePlan();
-    expect(plan).toMatch("AnalyzeExec");
-    expect(plan).toMatch("metrics=");
-  });
-
   it("should be able to query with row id", async () => {
     const results = await tbl
       .query()
@@ -916,7 +806,6 @@ describe("When creating an index", () => {
     // Only build index over v1
     await tbl.createIndex("vec", {
       config: Index.ivfPq({ numPartitions: 2, numSubVectors: 2 }),
-      waitTimeoutSeconds: 30,
     });
 
     const rst = await tbl
@@ -961,44 +850,6 @@ describe("When creating an index", () => {
   });
 });
 
-describe("When querying a table", () => {
-  let tmpDir: tmp.DirResult;
-  beforeEach(() => {
-    tmpDir = tmp.dirSync({ unsafeCleanup: true });
-  });
-  afterEach(() => tmpDir.removeCallback());
-
-  it("should throw an error when timeout is reached", async () => {
-    const db = await connect(tmpDir.name);
-    const data = makeArrowTable([
-      { text: "a", vector: [0.1, 0.2] },
-      { text: "b", vector: [0.3, 0.4] },
-    ]);
-    const table = await db.createTable("test", data);
-    await table.createIndex("text", { config: Index.fts() });
-
-    await expect(
-      table.query().where("text != 'a'").toArray({ timeoutMs: 0 }),
-    ).rejects.toThrow("Query timeout");
-
-    await expect(
-      table.query().nearestTo([0.0, 0.0]).toArrow({ timeoutMs: 0 }),
-    ).rejects.toThrow("Query timeout");
-
-    await expect(
-      table.search("a", "fts").toArray({ timeoutMs: 0 }),
-    ).rejects.toThrow("Query timeout");
-
-    await expect(
-      table
-        .query()
-        .nearestToText("a")
-        .nearestTo([0.0, 0.0])
-        .toArrow({ timeoutMs: 0 }),
-    ).rejects.toThrow("Query timeout");
-  });
-});
-
 describe("Read consistency interval", () => {
   let tmpDir: tmp.DirResult;
   beforeEach(() => {
@@ -1083,19 +934,15 @@ describe("schema evolution", function () {
       { id: 1n, vector: [0.1, 0.2] },
     ]);
     // Can create a non-nullable column only through addColumns at the moment.
-    const addColumnsRes = await table.addColumns([
+    await table.addColumns([
       { name: "price", valueSql: "cast(10.0 as double)" },
     ]);
-    expect(addColumnsRes).toHaveProperty("version");
-    expect(addColumnsRes.version).toBe(2);
     expect(await table.schema()).toEqual(schema);
 
-    const alterColumnsRes = await table.alterColumns([
+    await table.alterColumns([
       { path: "id", rename: "new_id" },
       { path: "price", nullable: true },
     ]);
-    expect(alterColumnsRes).toHaveProperty("version");
-    expect(alterColumnsRes.version).toBe(3);
 
     const expectedSchema = new Schema([
       new Field("new_id", new Int64(), true),
@@ -1213,9 +1060,7 @@ describe("schema evolution", function () {
     const table = await con.createTable("vectors", [
       { id: 1n, vector: [0.1, 0.2] },
     ]);
-    const dropColumnsRes = await table.dropColumns(["vector"]);
-    expect(dropColumnsRes).toHaveProperty("version");
-    expect(dropColumnsRes.version).toBe(2);
+    await table.dropColumns(["vector"]);
 
     const expectedSchema = new Schema([new Field("id", new Int64(), true)]);
     expect(await table.schema()).toEqual(expectedSchema);
@@ -1267,99 +1112,6 @@ describe("when dealing with versioning", () => {
   });
 });
 
-describe("when dealing with tags", () => {
-  let tmpDir: tmp.DirResult;
-  beforeEach(() => {
-    tmpDir = tmp.dirSync({ unsafeCleanup: true });
-  });
-  afterEach(() => {
-    tmpDir.removeCallback();
-  });
-
-  it("can manage tags", async () => {
-    const conn = await connect(tmpDir.name, {
-      readConsistencyInterval: 0,
-    });
-
-    const table = await conn.createTable("my_table", [
-      { id: 1n, vector: [0.1, 0.2] },
-    ]);
-    expect(await table.version()).toBe(1);
-
-    await table.add([{ id: 2n, vector: [0.3, 0.4] }]);
-    expect(await table.version()).toBe(2);
-
-    const tagsManager = await table.tags();
-
-    const initialTags = await tagsManager.list();
-    expect(Object.keys(initialTags).length).toBe(0);
-
-    const tag1 = "tag1";
-    await tagsManager.create(tag1, 1);
-    expect(await tagsManager.getVersion(tag1)).toBe(1);
-
-    const tagsAfterFirst = await tagsManager.list();
-    expect(Object.keys(tagsAfterFirst).length).toBe(1);
-    expect(tagsAfterFirst).toHaveProperty(tag1);
-    expect(tagsAfterFirst[tag1].version).toBe(1);
-
-    await tagsManager.create("tag2", 2);
-    expect(await tagsManager.getVersion("tag2")).toBe(2);
-
-    const tagsAfterSecond = await tagsManager.list();
-    expect(Object.keys(tagsAfterSecond).length).toBe(2);
-    expect(tagsAfterSecond).toHaveProperty(tag1);
-    expect(tagsAfterSecond[tag1].version).toBe(1);
-    expect(tagsAfterSecond).toHaveProperty("tag2");
-    expect(tagsAfterSecond["tag2"].version).toBe(2);
-
-    await table.add([{ id: 3n, vector: [0.5, 0.6] }]);
-    await tagsManager.update(tag1, 3);
-    expect(await tagsManager.getVersion(tag1)).toBe(3);
-
-    await tagsManager.delete("tag2");
-    const tagsAfterDelete = await tagsManager.list();
-    expect(Object.keys(tagsAfterDelete).length).toBe(1);
-    expect(tagsAfterDelete).toHaveProperty(tag1);
-    expect(tagsAfterDelete[tag1].version).toBe(3);
-
-    await table.add([{ id: 4n, vector: [0.7, 0.8] }]);
-    expect(await table.version()).toBe(4);
-
-    await table.checkout(tag1);
-    expect(await table.version()).toBe(3);
-
-    await table.checkoutLatest();
-    expect(await table.version()).toBe(4);
-  });
-
-  it("can checkout and restore tags", async () => {
-    const conn = await connect(tmpDir.name, {
-      readConsistencyInterval: 0,
-    });
-
-    const table = await conn.createTable("my_table", [
-      { id: 1n, vector: [0.1, 0.2] },
-    ]);
-    expect(await table.version()).toBe(1);
-    expect(await table.countRows()).toBe(1);
-    const tagsManager = await table.tags();
-    const tag1 = "tag1";
-    await tagsManager.create(tag1, 1);
-    await table.add([{ id: 2n, vector: [0.3, 0.4] }]);
-    const tag2 = "tag2";
-    await tagsManager.create(tag2, 2);
-    expect(await table.version()).toBe(2);
-    await table.checkout(tag1);
-    expect(await table.version()).toBe(1);
-    await table.restore();
-    expect(await table.version()).toBe(3);
-    expect(await table.countRows()).toBe(1);
-    await table.add([{ id: 3n, vector: [0.5, 0.6] }]);
-    expect(await table.countRows()).toBe(2);
-  });
-});
-
 describe("when optimizing a dataset", () => {
   let tmpDir: tmp.DirResult;
   let table: Table;
@@ -1495,58 +1247,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
 
       const results = await table.search("hello").toArray();
       expect(results[0].text).toBe(data[0].text);
-
-      const query = new MatchQuery("goodbye", "text");
-      expect(instanceOfFullTextQuery(query)).toBe(true);
-      const results2 = await table
-        .search(new MatchQuery("goodbye", "text"))
-        .toArray();
-      expect(results2[0].text).toBe(data[1].text);
-    });
-
-    test("prewarm full text search index", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [
-        { text: ["lance database", "the", "search"], vector: [0.1, 0.2, 0.3] },
-        { text: ["lance database"], vector: [0.4, 0.5, 0.6] },
-        { text: ["lance", "search"], vector: [0.7, 0.8, 0.9] },
-        { text: ["database", "search"], vector: [1.0, 1.1, 1.2] },
-        { text: ["unrelated", "doc"], vector: [1.3, 1.4, 1.5] },
-      ];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts(),
-      });
-
-      // For the moment, we just confirm we can call prewarmIndex without error
-      // and still search it afterwards
-      await table.prewarmIndex("text_idx");
-
-      const results = await table.search("lance").toArray();
-      expect(results.length).toBe(3);
-    });
-
-    test("full text index on list", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [
-        { text: ["lance database", "the", "search"], vector: [0.1, 0.2, 0.3] },
-        { text: ["lance database"], vector: [0.4, 0.5, 0.6] },
-        { text: ["lance", "search"], vector: [0.7, 0.8, 0.9] },
-        { text: ["database", "search"], vector: [1.0, 1.1, 1.2] },
-        { text: ["unrelated", "doc"], vector: [1.3, 1.4, 1.5] },
-      ];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts({
-          withPosition: true,
-        }),
-      });
-
-      const results = await table.search("lance").toArray();
-      expect(results.length).toBe(3);
-
-      const results2 = await table.search('"lance database"').toArray();
-      expect(results2.length).toBe(2);
     });
 
     test("full text search without positions", async () => {
@@ -1562,18 +1262,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
 
       const results = await table.search("hello").toArray();
       expect(results[0].text).toBe(data[0].text);
-
-      const results2 = await table
-        .search(new MatchQuery("hello world", "text"))
-        .toArray();
-      expect(results2.length).toBe(2);
-
-      const results3 = await table
-        .search(
-          new MatchQuery("hello world", "text", { operator: Operator.And }),
-        )
-        .toArray();
-      expect(results3.length).toBe(1);
     });
 
     test("full text search without lowercase", async () => {
@@ -1604,160 +1292,13 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
       ];
       const table = await db.createTable("test", data);
       await table.createIndex("text", {
-        config: Index.fts({
-          withPosition: true,
-        }),
+        config: Index.fts(),
       });
 
       const results = await table.search("world").toArray();
       expect(results.length).toBe(2);
       const phraseResults = await table.search('"hello world"').toArray();
       expect(phraseResults.length).toBe(1);
-      const phraseResults2 = await table
-        .search(new PhraseQuery("hello world", "text"))
-        .toArray();
-      expect(phraseResults2.length).toBe(1);
-    });
-
-    test("full text search fuzzy query", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [
-        { text: "fa", vector: [0.1, 0.2, 0.3] },
-        { text: "fo", vector: [0.4, 0.5, 0.6] },
-        { text: "fob", vector: [0.4, 0.5, 0.6] },
-        { text: "focus", vector: [0.4, 0.5, 0.6] },
-        { text: "foo", vector: [0.4, 0.5, 0.6] },
-        { text: "food", vector: [0.4, 0.5, 0.6] },
-        { text: "foul", vector: [0.4, 0.5, 0.6] },
-      ];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts(),
-      });
-
-      const results = await table
-        .search(new MatchQuery("foo", "text"))
-        .toArray();
-      expect(results.length).toBe(1);
-      expect(results[0].text).toBe("foo");
-
-      const fuzzyResults = await table
-        .search(new MatchQuery("foo", "text", { fuzziness: 1 }))
-        .toArray();
-      expect(fuzzyResults.length).toBe(4);
-      const resultSet = new Set(fuzzyResults.map((r) => r.text));
-      expect(resultSet.has("foo")).toBe(true);
-      expect(resultSet.has("fob")).toBe(true);
-      expect(resultSet.has("fo")).toBe(true);
-      expect(resultSet.has("food")).toBe(true);
-
-      const prefixResults = await table
-        .search(
-          new MatchQuery("foo", "text", { fuzziness: 3, prefixLength: 3 }),
-        )
-        .toArray();
-      expect(prefixResults.length).toBe(2);
-      const resultSet2 = new Set(prefixResults.map((r) => r.text));
-      expect(resultSet2.has("foo")).toBe(true);
-      expect(resultSet2.has("food")).toBe(true);
-    });
-
-    test("full text search boolean query", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [
-        { text: "The cat and dog are playing" },
-        { text: "The cat is sleeping" },
-        { text: "The dog is barking" },
-        { text: "The dog chases the cat" },
-      ];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts({ withPosition: false }),
-      });
-
-      const shouldResults = await table
-        .search(
-          new BooleanQuery([
-            [Occur.Should, new MatchQuery("cat", "text")],
-            [Occur.Should, new MatchQuery("dog", "text")],
-          ]),
-        )
-        .toArray();
-      expect(shouldResults.length).toBe(4);
-
-      const mustResults = await table
-        .search(
-          new BooleanQuery([
-            [Occur.Must, new MatchQuery("cat", "text")],
-            [Occur.Must, new MatchQuery("dog", "text")],
-          ]),
-        )
-        .toArray();
-      expect(mustResults.length).toBe(2);
-
-      const mustNotResults = await table
-        .search(
-          new BooleanQuery([
-            [Occur.Must, new MatchQuery("cat", "text")],
-            [Occur.MustNot, new MatchQuery("dog", "text")],
-          ]),
-        )
-        .toArray();
-      expect(mustNotResults.length).toBe(1);
-    });
-
-    test("full text search ngram", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [
-        { text: "hello world", vector: [0.1, 0.2, 0.3] },
-        { text: "lance database", vector: [0.4, 0.5, 0.6] },
-        { text: "lance is cool", vector: [0.7, 0.8, 0.9] },
-      ];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts({ baseTokenizer: "ngram" }),
-      });
-
-      const results = await table.search("lan").toArray();
-      expect(results.length).toBe(2);
-      const resultSet = new Set(results.map((r) => r.text));
-      expect(resultSet.has("lance database")).toBe(true);
-      expect(resultSet.has("lance is cool")).toBe(true);
-
-      const results2 = await table.search("nce").toArray(); // spellchecker:disable-line
-      expect(results2.length).toBe(2);
-      const resultSet2 = new Set(results2.map((r) => r.text));
-      expect(resultSet2.has("lance database")).toBe(true);
-      expect(resultSet2.has("lance is cool")).toBe(true);
-
-      // the default min_ngram_length is 3, so "la" should not match
-      const results3 = await table.search("la").toArray();
-      expect(results3.length).toBe(0);
-
-      // test setting min_ngram_length and prefix_only
-      await table.createIndex("text", {
-        config: Index.fts({
-          baseTokenizer: "ngram",
-          ngramMinLength: 2,
-          prefixOnly: true,
-        }),
-        replace: true,
-      });
-
-      const results4 = await table.search("lan").toArray();
-      expect(results4.length).toBe(2);
-      const resultSet4 = new Set(results4.map((r) => r.text));
-      expect(resultSet4.has("lance database")).toBe(true);
-      expect(resultSet4.has("lance is cool")).toBe(true);
-
-      const results5 = await table.search("nce").toArray(); // spellchecker:disable-line
-      expect(results5.length).toBe(0);
-
-      const results6 = await table.search("la").toArray();
-      expect(results6.length).toBe(2);
-      const resultSet6 = new Set(results6.map((r) => r.text));
-      expect(resultSet6.has("lance database")).toBe(true);
-      expect(resultSet6.has("lance is cool")).toBe(true);
     });
 
     test.each([
@@ -1805,30 +1346,6 @@ describe("when calling explainPlan", () => {
   });
 });
 
-describe("when calling analyzePlan", () => {
-  let tmpDir: tmp.DirResult;
-  let table: Table;
-  let queryVec: number[];
-  beforeEach(async () => {
-    tmpDir = tmp.dirSync({ unsafeCleanup: true });
-    const con = await connect(tmpDir.name);
-    table = await con.createTable("vectors", [{ id: 1, vector: [1.1, 0.9] }]);
-  });
-
-  afterEach(() => {
-    tmpDir.removeCallback();
-  });
-
-  it("retrieves runtime metrics", async () => {
-    queryVec = Array(2)
-      .fill(1)
-      .map(() => Math.random());
-    const plan = await table.query().nearestTo(queryVec).analyzePlan();
-    console.log("Query Plan:\n", plan); // <--- Print the plan
-    expect(plan).toMatch("AnalyzeExec");
-  });
-});
-
 describe("column name options", () => {
   let tmpDir: tmp.DirResult;
   let table: Table;
@@ -1863,43 +1380,4 @@ describe("column name options", () => {
     expect(results[0].query_index).toBe(0);
     expect(results[1].query_index).toBe(1);
   });
-
-  test("index and search multivectors", async () => {
-    const db = await connect(tmpDir.name);
-    const data = [];
-    // generate 512 random multivectors
-    for (let i = 0; i < 256; i++) {
-      data.push({
-        multivector: Array.from({ length: 10 }, () =>
-          Array(2).fill(Math.random()),
-        ),
-      });
-    }
-    const table = await db.createTable("multivectors", data, {
-      schema: new Schema([
-        new Field(
-          "multivector",
-          new List(
-            new Field(
-              "item",
-              new FixedSizeList(2, new Field("item", new Float32())),
-            ),
-          ),
-        ),
-      ]),
-    });
-
-    const results = await table.search(data[0].multivector).limit(10).toArray();
-    expect(results.length).toBe(10);
-
-    await table.createIndex("multivector", {
-      config: Index.ivfPq({ numPartitions: 2, distanceType: "cosine" }),
-    });
-
-    const results2 = await table
-      .search(data[0].multivector)
-      .limit(10)
-      .toArray();
-    expect(results2.length).toBe(10);
-  });
 });

nodejs/lancedb/arrow.ts

@@ -107,20 +107,6 @@ export type IntoVector =
   | number[]
   | Promise<Float32Array | Float64Array | number[]>;
 
-export type MultiVector = IntoVector[];
-
-export function isMultiVector(value: unknown): value is MultiVector {
-  return Array.isArray(value) && isIntoVector(value[0]);
-}
-
-export function isIntoVector(value: unknown): value is IntoVector {
-  return (
-    value instanceof Float32Array ||
-    value instanceof Float64Array ||
-    (Array.isArray(value) && !Array.isArray(value[0]))
-  );
-}
-
 export function isArrowTable(value: object): value is TableLike {
   if (value instanceof ArrowTable) return true;
   return "schema" in value && "batches" in value;
@@ -431,9 +417,7 @@ function inferSchema(
         } else {
           const inferredType = inferType(value, path, opts);
           if (inferredType === undefined) {
-            throw new Error(`Failed to infer data type for field ${path.join(
-              ".",
-            )} at row ${rowI}. \
+            throw new Error(`Failed to infer data type for field ${path.join(".")} at row ${rowI}. \
                              Consider providing an explicit schema.`);
           }
           pathTree.set(path, inferredType);
@@ -655,9 +639,8 @@ function transposeData(
 ): Vector {
   if (field.type instanceof Struct) {
     const childFields = field.type.children;
-    const fullPath = [...path, field.name];
     const childVectors = childFields.map((child) => {
-      return transposeData(data, child, fullPath);
+      return transposeData(data, child, [...path, child.name]);
     });
     const structData = makeData({
       type: field.type,
@@ -669,14 +652,7 @@ function transposeData(
     const values = data.map((datum) => {
       let current: unknown = datum;
       for (const key of valuesPath) {
-        if (current == null) {
-          return null;
-        }
-
-        if (
-          isObject(current) &&
-          (Object.hasOwn(current, key) || key in current)
-        ) {
+        if (isObject(current) && Object.hasOwn(current, key)) {
           current = current[key];
         } else {
           return null;
@@ -815,17 +791,11 @@ async function applyEmbeddingsFromMetadata(
         `Cannot apply embedding function because the source column '${functionEntry.sourceColumn}' was not present in the data`,
       );
     }
-
-    // Check if destination column exists and handle accordingly
     if (columns[destColumn] !== undefined) {
-      const existingColumn = columns[destColumn];
-      // If the column exists but is all null, we can fill it with embeddings
-      if (existingColumn.nullCount !== existingColumn.length) {
-        // Column has non-null values, skip embedding application
-        continue;
-      }
+      throw new Error(
+        `Attempt to apply embeddings to table failed because column ${destColumn} already existed`,
+      );
     }
-
     if (table.batches.length > 1) {
       throw new Error(
         "Internal error: `makeArrowTable` unexpectedly created a table with more than one batch",
@@ -853,15 +823,6 @@ async function applyEmbeddingsFromMetadata(
     const vector = makeVector(vectors, destType);
     columns[destColumn] = vector;
   }
-
-  // Add any missing columns from the schema as null vectors
-  for (const field of schema.fields) {
-    if (!(field.name in columns)) {
-      const nullValues = new Array(table.numRows).fill(null);
-      columns[field.name] = makeVector(nullValues, field.type);
-    }
-  }
-
   const newTable = new ArrowTable(columns);
   return alignTable(newTable, schema);
 }
@@ -934,23 +895,11 @@ async function applyEmbeddings<T>(
       );
     }
   } else {
-    // Check if destination column exists and handle accordingly
     if (Object.prototype.hasOwnProperty.call(newColumns, destColumn)) {
-      const existingColumn = newColumns[destColumn];
-      // If the column exists but is all null, we can fill it with embeddings
-      if (existingColumn.nullCount !== existingColumn.length) {
-        // Column has non-null values, skip embedding application and return table as-is
-        let newTable = new ArrowTable(newColumns);
-        if (schema != null) {
-          newTable = alignTable(newTable, schema as Schema);
-        }
-        return new ArrowTable(
-          new Schema(newTable.schema.fields, schemaMetadata),
-          newTable.batches,
-        );
-      }
+      throw new Error(
+        `Attempt to apply embeddings to table failed because column ${destColumn} already existed`,
+      );
     }
-
     if (table.batches.length > 1) {
       throw new Error(
         "Internal error: `makeArrowTable` unexpectedly created a table with more than one batch",
@@ -1010,21 +959,7 @@ export async function convertToTable(
   embeddings?: EmbeddingFunctionConfig,
   makeTableOptions?: Partial<MakeArrowTableOptions>,
 ): Promise<ArrowTable> {
-  let processedData = data;
-
-  // If we have a schema with embedding metadata, we need to preprocess the data
-  // to ensure all nested fields are present
-  if (
-    makeTableOptions?.schema &&
-    makeTableOptions.schema.metadata?.has("embedding_functions")
-  ) {
-    processedData = ensureNestedFieldsExist(
-      data,
-      makeTableOptions.schema as Schema,
-    );
-  }
-
-  const table = makeArrowTable(processedData, makeTableOptions);
+  const table = makeArrowTable(data, makeTableOptions);
   return await applyEmbeddings(table, embeddings, makeTableOptions?.schema);
 }
 
@@ -1117,16 +1052,7 @@ export async function fromDataToBuffer(
     schema = sanitizeSchema(schema);
   }
   if (isArrowTable(data)) {
-    const table = sanitizeTable(data);
-    // If we have a schema with embedding functions, we need to ensure all columns exist
-    // before applying embeddings, since applyEmbeddingsFromMetadata expects all columns
-    // to be present in the table
-    if (schema && schema.metadata?.has("embedding_functions")) {
-      const alignedTable = alignTableToSchema(table, schema);
-      return fromTableToBuffer(alignedTable, embeddings, schema);
-    } else {
-      return fromTableToBuffer(table, embeddings, schema);
-    }
+    return fromTableToBuffer(sanitizeTable(data), embeddings, schema);
   } else {
     const table = await convertToTable(data, embeddings, { schema });
     return fromTableToBuffer(table);
@@ -1195,7 +1121,7 @@ function alignBatch(batch: RecordBatch, schema: Schema): RecordBatch {
     type: new Struct(schema.fields),
     length: batch.numRows,
     nullCount: batch.nullCount,
-    children: alignedChildren as unknown as ArrowData<DataType>[],
+    children: alignedChildren,
   });
   return new RecordBatch(schema, newData);
 }
@@ -1267,79 +1193,6 @@ function validateSchemaEmbeddings(
   return new Schema(fields, schema.metadata);
 }
 
-/**
- * Ensures that all nested fields defined in the schema exist in the data,
- * filling missing fields with null values.
- */
-export function ensureNestedFieldsExist(
-  data: Array<Record<string, unknown>>,
-  schema: Schema,
-): Array<Record<string, unknown>> {
-  return data.map((row) => {
-    const completeRow: Record<string, unknown> = {};
-
-    for (const field of schema.fields) {
-      if (field.name in row) {
-        if (
-          field.type.constructor.name === "Struct" &&
-          row[field.name] !== null &&
-          row[field.name] !== undefined
-        ) {
-          // Handle nested struct
-          const nestedValue = row[field.name] as Record<string, unknown>;
-          completeRow[field.name] = ensureStructFieldsExist(
-            nestedValue,
-            field.type,
-          );
-        } else {
-          // Non-struct field or null struct value
-          completeRow[field.name] = row[field.name];
-        }
-      } else {
-        // Field is missing from the data - set to null
-        completeRow[field.name] = null;
-      }
-    }
-
-    return completeRow;
-  });
-}
-
-/**
- * Recursively ensures that all fields in a struct type exist in the data,
- * filling missing fields with null values.
- */
-function ensureStructFieldsExist(
-  data: Record<string, unknown>,
-  structType: Struct,
-): Record<string, unknown> {
-  const completeStruct: Record<string, unknown> = {};
-
-  for (const childField of structType.children) {
-    if (childField.name in data) {
-      if (
-        childField.type.constructor.name === "Struct" &&
-        data[childField.name] !== null &&
-        data[childField.name] !== undefined
-      ) {
-        // Recursively handle nested struct
-        completeStruct[childField.name] = ensureStructFieldsExist(
-          data[childField.name] as Record<string, unknown>,
-          childField.type,
-        );
-      } else {
-        // Non-struct field or null struct value
-        completeStruct[childField.name] = data[childField.name];
-      }
-    } else {
-      // Field is missing - set to null
-      completeStruct[childField.name] = null;
-    }
-  }
-
-  return completeStruct;
-}
-
 interface JsonDataType {
   type: string;
   fields?: JsonField[];
@@ -1473,64 +1326,3 @@ function fieldToJson(field: Field): JsonField {
     metadata: field.metadata,
   };
 }
-
-function alignTableToSchema(
-  table: ArrowTable,
-  targetSchema: Schema,
-): ArrowTable {
-  const existingColumns = new Map<string, Vector>();
-
-  // Map existing columns
-  for (const field of table.schema.fields) {
-    existingColumns.set(field.name, table.getChild(field.name)!);
-  }
-
-  // Create vectors for all fields in target schema
-  const alignedColumns: Record<string, Vector> = {};
-
-  for (const field of targetSchema.fields) {
-    if (existingColumns.has(field.name)) {
-      // Column exists, use it
-      alignedColumns[field.name] = existingColumns.get(field.name)!;
-    } else {
-      // Column missing, create null vector
-      alignedColumns[field.name] = createNullVector(field, table.numRows);
-    }
-  }
-
-  // Create new table with aligned schema and columns
-  return new ArrowTable(targetSchema, alignedColumns);
-}
-
-function createNullVector(field: Field, numRows: number): Vector {
-  if (field.type.constructor.name === "Struct") {
-    // For struct types, create a struct with null fields
-    const structType = field.type as Struct;
-    const childVectors = structType.children.map((childField) =>
-      createNullVector(childField, numRows),
-    );
-
-    // Create struct data
-    const structData = makeData({
-      type: structType,
-      length: numRows,
-      nullCount: 0,
-      children: childVectors.map((v) => v.data[0]),
-    });
-
-    return arrowMakeVector(structData);
-  } else {
-    // For other types, create a vector of nulls
-    const nullBitmap = new Uint8Array(Math.ceil(numRows / 8));
-    // All bits are 0, meaning all values are null
-
-    const data = makeData({
-      type: field.type,
-      length: numRows,
-      nullCount: numRows,
-      nullBitmap,
-    });
-
-    return arrowMakeVector(data);
-  }
-}

nodejs/lancedb/index.ts

@@ -23,18 +23,6 @@ export {
   OptimizeStats,
   CompactionStats,
   RemovalStats,
-  TableStatistics,
-  FragmentStatistics,
-  FragmentSummaryStats,
-  Tags,
-  TagContents,
-  MergeResult,
-  AddResult,
-  AddColumnsResult,
-  AlterColumnsResult,
-  DeleteResult,
-  DropColumnsResult,
-  UpdateResult,
 } from "./native.js";
 
 export {
@@ -59,15 +47,6 @@ export {
   QueryExecutionOptions,
   FullTextSearchOptions,
   RecordBatchIterator,
-  FullTextQuery,
-  MatchQuery,
-  PhraseQuery,
-  BoostQuery,
-  MultiMatchQuery,
-  BooleanQuery,
-  FullTextQueryType,
-  Operator,
-  Occur,
 } from "./query";
 
 export {
@@ -89,7 +68,7 @@ export {
   ColumnAlteration,
 } from "./table";
 
-export { MergeInsertBuilder, WriteExecutionOptions } from "./merge";
+export { MergeInsertBuilder } from "./merge";
 
 export * as embedding from "./embedding";
 export * as rerankers from "./rerankers";
@@ -100,7 +79,6 @@ export {
   RecordBatchLike,
   DataLike,
   IntoVector,
-  MultiVector,
 } from "./arrow";
 export { IntoSql, packBits } from "./util";
 

nodejs/lancedb/indices.ts

@@ -439,7 +439,7 @@ export interface FtsOptions {
    *
    * "raw" - Raw tokenizer. This tokenizer does not split the text into tokens and indexes the entire text as a single token.
    */
-  baseTokenizer?: "simple" | "whitespace" | "raw" | "ngram";
+  baseTokenizer?: "simple" | "whitespace" | "raw";
 
   /**
    * language for stemming and stop words
@@ -472,21 +472,6 @@ export interface FtsOptions {
    * whether to remove punctuation
    */
   asciiFolding?: boolean;
-
-  /**
-   * ngram min length
-   */
-  ngramMinLength?: number;
-
-  /**
-   * ngram max length
-   */
-  ngramMaxLength?: number;
-
-  /**
-   * whether to only index the prefix of the token for ngram tokenizer
-   */
-  prefixOnly?: boolean;
 }
 
 export class Index {
@@ -623,9 +608,6 @@ export class Index {
         options?.stem,
         options?.removeStopWords,
         options?.asciiFolding,
-        options?.ngramMinLength,
-        options?.ngramMaxLength,
-        options?.prefixOnly,
       ),
     );
   }
@@ -699,6 +681,4 @@ export interface IndexOptions {
    * The default is true
    */
   replace?: boolean;
-
-  waitTimeoutSeconds?: number;
 }

nodejs/lancedb/merge.ts

@@ -1,7 +1,7 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors
 import { Data, Schema, fromDataToBuffer } from "./arrow";
-import { MergeResult, NativeMergeInsertBuilder } from "./native";
+import { NativeMergeInsertBuilder } from "./native";
 
 /** A builder used to create and run a merge insert operation */
 export class MergeInsertBuilder {
@@ -73,12 +73,9 @@ export class MergeInsertBuilder {
   /**
    * Executes the merge insert operation
    *
-   * @returns {Promise<MergeResult>} the merge result
+   * Nothing is returned but the `Table` is updated
    */
-  async execute(
-    data: Data,
-    execOptions?: Partial<WriteExecutionOptions>,
-  ): Promise<MergeResult> {
+  async execute(data: Data): Promise<void> {
     let schema: Schema;
     if (this.#schema instanceof Promise) {
       schema = await this.#schema;
@@ -86,28 +83,7 @@ export class MergeInsertBuilder {
     } else {
       schema = this.#schema;
     }
-
-    if (execOptions?.timeoutMs !== undefined) {
-      this.#native.setTimeout(execOptions.timeoutMs);
-    }
-
     const buffer = await fromDataToBuffer(data, undefined, schema);
-    return await this.#native.execute(buffer);
+    await this.#native.execute(buffer);
   }
 }
-
-export interface WriteExecutionOptions {
-  /**
-   * Maximum time to run the operation before cancelling it.
-   *
-   * By default, there is a 30-second timeout that is only enforced after the
-   * first attempt. This is to prevent spending too long retrying to resolve
-   * conflicts. For example, if a write attempt takes 20 seconds and fails,
-   * the second attempt will be cancelled after 10 seconds, hitting the
-   * 30-second timeout. However, a write that takes one hour and succeeds on the
-   * first attempt will not be cancelled.
-   *
-   * When this is set, the timeout is enforced on all attempts, including the first.
-   */
-  timeoutMs?: number;
-}

nodejs/lancedb/query.ts

@@ -11,14 +11,12 @@ import {
 } from "./arrow";
 import { type IvfPqOptions } from "./indices";
 import {
-  JsFullTextQuery,
   RecordBatchIterator as NativeBatchIterator,
   Query as NativeQuery,
   Table as NativeTable,
   VectorQuery as NativeVectorQuery,
 } from "./native";
 import { Reranker } from "./rerankers";
-
 export class RecordBatchIterator implements AsyncIterator<RecordBatch> {
   private promisedInner?: Promise<NativeBatchIterator>;
   private inner?: NativeBatchIterator;
@@ -64,7 +62,7 @@ class RecordBatchIterable<
   // biome-ignore lint/suspicious/noExplicitAny: skip
   [Symbol.asyncIterator](): AsyncIterator<RecordBatch<any>, any, undefined> {
     return new RecordBatchIterator(
-      this.inner.execute(this.options?.maxBatchLength, this.options?.timeoutMs),
+      this.inner.execute(this.options?.maxBatchLength),
     );
   }
 }
@@ -80,11 +78,6 @@ export interface QueryExecutionOptions {
    * in smaller chunks.
    */
   maxBatchLength?: number;
-
-  /**
-   * Timeout for query execution in milliseconds
-   */
-  timeoutMs?: number;
 }
 
 /**
@@ -159,7 +152,7 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
   }
 
   fullTextSearch(
-    query: string | FullTextQuery,
+    query: string,
     options?: Partial<FullTextSearchOptions>,
   ): this {
     let columns: string[] | null = null;
@@ -171,16 +164,9 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
       }
     }
 
-    this.doCall((inner: NativeQueryType) => {
-      if (typeof query === "string") {
-        inner.fullTextSearch({
-          query: query,
-          columns: columns,
-        });
-      } else {
-        inner.fullTextSearch({ query: query.inner });
-      }
-    });
+    this.doCall((inner: NativeQueryType) =>
+      inner.fullTextSearch(query, columns),
+    );
     return this;
   }
 
@@ -287,11 +273,9 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
     options?: Partial<QueryExecutionOptions>,
   ): Promise<NativeBatchIterator> {
     if (this.inner instanceof Promise) {
-      return this.inner.then((inner) =>
-        inner.execute(options?.maxBatchLength, options?.timeoutMs),
-      );
+      return this.inner.then((inner) => inner.execute(options?.maxBatchLength));
     } else {
-      return this.inner.execute(options?.maxBatchLength, options?.timeoutMs);
+      return this.inner.execute(options?.maxBatchLength);
     }
   }
 
@@ -364,43 +348,6 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
       return this.inner.explainPlan(verbose);
     }
   }
-
-  /**
-   * Executes the query and returns the physical query plan annotated with runtime metrics.
-   *
-   * This is useful for debugging and performance analysis, as it shows how the query was executed
-   * and includes metrics such as elapsed time, rows processed, and I/O statistics.
-   *
-   * @example
-   * import * as lancedb from "@lancedb/lancedb"
-   *
-   * const db = await lancedb.connect("./.lancedb");
-   * const table = await db.createTable("my_table", [
-   *   { vector: [1.1, 0.9], id: "1" },
-   * ]);
-   *
-   * const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
-   *
-   * Example output (with runtime metrics inlined):
-   * AnalyzeExec verbose=true, metrics=[]
-   *  ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
-   *   Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
-   *    CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
-   *     GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
-   *      FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
-   *       SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
-   *        KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
-   *         LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
-   *
-   * @returns A query execution plan with runtime metrics for each step.
-   */
-  async analyzePlan(): Promise<string> {
-    if (this.inner instanceof Promise) {
-      return this.inner.then((inner) => inner.analyzePlan());
-    } else {
-      return this.inner.analyzePlan();
-    }
-  }
 }
 
 /**
@@ -448,10 +395,6 @@ export class VectorQuery extends QueryBase<NativeVectorQuery> {
    * For best results we recommend tuning this parameter with a benchmark against
    * your actual data to find the smallest possible value that will still give
    * you the desired recall.
-   *
-   * For more fine grained control over behavior when you have a very narrow filter
-   * you can use `minimumNprobes` and `maximumNprobes`.  This method sets both
-   * the minimum and maximum to the same value.
    */
   nprobes(nprobes: number): VectorQuery {
     super.doCall((inner) => inner.nprobes(nprobes));
@@ -459,33 +402,6 @@ export class VectorQuery extends QueryBase<NativeVectorQuery> {
     return this;
   }
 
-  /**
-   * Set the minimum number of probes used.
-   *
-   * This controls the minimum number of partitions that will be searched.  This
-   * parameter will impact every query against a vector index, regardless of the
-   * filter.  See `nprobes` for more details.  Higher values will increase recall
-   * but will also increase latency.
-   */
-  minimumNprobes(minimumNprobes: number): VectorQuery {
-    super.doCall((inner) => inner.minimumNprobes(minimumNprobes));
-    return this;
-  }
-
-  /**
-   * Set the maximum number of probes used.
-   *
-   * This controls the maximum number of partitions that will be searched.  If this
-   * number is greater than minimumNprobes then the excess partitions will _only_ be
-   * searched if we have not found enough results.  This can be useful when there is
-   * a narrow filter to allow these queries to spend more time searching and avoid
-   * potential false negatives.
-   */
-  maximumNprobes(maximumNprobes: number): VectorQuery {
-    super.doCall((inner) => inner.maximumNprobes(maximumNprobes));
-    return this;
-  }
-
   /*
    * Set the distance range to use
    *
@@ -765,234 +681,8 @@ export class Query extends QueryBase<NativeQuery> {
     }
   }
 
-  nearestToText(query: string | FullTextQuery, columns?: string[]): Query {
-    this.doCall((inner) => {
-      if (typeof query === "string") {
-        inner.fullTextSearch({
-          query: query,
-          columns: columns,
-        });
-      } else {
-        inner.fullTextSearch({ query: query.inner });
-      }
-    });
+  nearestToText(query: string, columns?: string[]): Query {
+    this.doCall((inner) => inner.fullTextSearch(query, columns));
     return this;
   }
 }
-
-/**
- * Enum representing the types of full-text queries supported.
- *
- * - `Match`: Performs a full-text search for terms in the query string.
- * - `MatchPhrase`: Searches for an exact phrase match in the text.
- * - `Boost`: Boosts the relevance score of specific terms in the query.
- * - `MultiMatch`: Searches across multiple fields for the query terms.
- */
-export enum FullTextQueryType {
-  Match = "match",
-  MatchPhrase = "match_phrase",
-  Boost = "boost",
-  MultiMatch = "multi_match",
-  Boolean = "boolean",
-}
-
-/**
- * Enum representing the logical operators used in full-text queries.
- *
- * - `And`: All terms must match.
- * - `Or`: At least one term must match.
- */
-export enum Operator {
-  And = "AND",
-  Or = "OR",
-}
-
-/**
- * Enum representing the occurrence of terms in full-text queries.
- *
- * - `Must`: The term must be present in the document.
- * - `Should`: The term should contribute to the document score, but is not required.
- * - `MustNot`: The term must not be present in the document.
- */
-export enum Occur {
-  Should = "SHOULD",
-  Must = "MUST",
-  MustNot = "MUST_NOT",
-}
-
-/**
- * Represents a full-text query interface.
- * This interface defines the structure and behavior for full-text queries,
- * including methods to retrieve the query type and convert the query to a dictionary format.
- */
-export interface FullTextQuery {
-  /**
-   * Returns the inner query object.
-   * This is the underlying query object used by the database engine.
-   * @ignore
-   */
-  inner: JsFullTextQuery;
-
-  /**
-   * The type of the full-text query.
-   */
-  queryType(): FullTextQueryType;
-}
-
-// biome-ignore lint/suspicious/noExplicitAny: we want any here
-export function instanceOfFullTextQuery(obj: any): obj is FullTextQuery {
-  return obj != null && obj.inner instanceof JsFullTextQuery;
-}
-
-export class MatchQuery implements FullTextQuery {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
-
-  /**
-   * Creates an instance of MatchQuery.
-   *
-   * @param query - The text query to search for.
-   * @param column - The name of the column to search within.
-   * @param options - Optional parameters for the match query.
-   *   - `boost`: The boost factor for the query (default is 1.0).
-   *   - `fuzziness`: The fuzziness level for the query (default is 0).
-   *   - `maxExpansions`: The maximum number of terms to consider for fuzzy matching (default is 50).
-   *   - `operator`: The logical operator to use for combining terms in the query (default is "OR").
-   *   - `prefixLength`: The number of beginning characters being unchanged for fuzzy matching.
-   */
-  constructor(
-    query: string,
-    column: string,
-    options?: {
-      boost?: number;
-      fuzziness?: number;
-      maxExpansions?: number;
-      operator?: Operator;
-      prefixLength?: number;
-    },
-  ) {
-    let fuzziness = options?.fuzziness;
-    if (fuzziness === undefined) {
-      fuzziness = 0;
-    }
-    this.inner = JsFullTextQuery.matchQuery(
-      query,
-      column,
-      options?.boost ?? 1.0,
-      fuzziness,
-      options?.maxExpansions ?? 50,
-      options?.operator ?? Operator.Or,
-      options?.prefixLength ?? 0,
-    );
-  }
-
-  queryType(): FullTextQueryType {
-    return FullTextQueryType.Match;
-  }
-}
-
-export class PhraseQuery implements FullTextQuery {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
-  /**
-   * Creates an instance of `PhraseQuery`.
-   *
-   * @param query - The phrase to search for in the specified column.
-   * @param column - The name of the column to search within.
-   * @param options - Optional parameters for the phrase query.
-   *   - `slop`: The maximum number of intervening unmatched positions allowed between words in the phrase (default is 0).
-   */
-  constructor(query: string, column: string, options?: { slop?: number }) {
-    this.inner = JsFullTextQuery.phraseQuery(query, column, options?.slop ?? 0);
-  }
-
-  queryType(): FullTextQueryType {
-    return FullTextQueryType.MatchPhrase;
-  }
-}
-
-export class BoostQuery implements FullTextQuery {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
-  /**
-   * Creates an instance of BoostQuery.
-   * The boost returns documents that match the positive query,
-   * but penalizes those that match the negative query.
-   * the penalty is controlled by the `negativeBoost` parameter.
-   *
-   * @param positive - The positive query that boosts the relevance score.
-   * @param negative - The negative query that reduces the relevance score.
-   * @param options - Optional parameters for the boost query.
-   *  - `negativeBoost`: The boost factor for the negative query (default is 0.0).
-   */
-  constructor(
-    positive: FullTextQuery,
-    negative: FullTextQuery,
-    options?: {
-      negativeBoost?: number;
-    },
-  ) {
-    this.inner = JsFullTextQuery.boostQuery(
-      positive.inner,
-      negative.inner,
-      options?.negativeBoost,
-    );
-  }
-
-  queryType(): FullTextQueryType {
-    return FullTextQueryType.Boost;
-  }
-}
-
-export class MultiMatchQuery implements FullTextQuery {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
-  /**
-   * Creates an instance of MultiMatchQuery.
-   *
-   * @param query - The text query to search for across multiple columns.
-   * @param columns - An array of column names to search within.
-   * @param options - Optional parameters for the multi-match query.
-   *  - `boosts`: An array of boost factors for each column (default is 1.0 for all).
-   *  - `operator`: The logical operator to use for combining terms in the query (default is "OR").
-   */
-  constructor(
-    query: string,
-    columns: string[],
-    options?: {
-      boosts?: number[];
-      operator?: Operator;
-    },
-  ) {
-    this.inner = JsFullTextQuery.multiMatchQuery(
-      query,
-      columns,
-      options?.boosts,
-      options?.operator ?? Operator.Or,
-    );
-  }
-
-  queryType(): FullTextQueryType {
-    return FullTextQueryType.MultiMatch;
-  }
-}
-
-export class BooleanQuery implements FullTextQuery {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
-  /**
-   * Creates an instance of BooleanQuery.
-   *
-   * @param queries - An array of (Occur, FullTextQuery objects) to combine.
-   * Occur specifies whether the query must match, or should match.
-   */
-  constructor(queries: [Occur, FullTextQuery][]) {
-    this.inner = JsFullTextQuery.booleanQuery(
-      queries.map(([occur, query]) => [occur, query.inner]),
-    );
-  }
-
-  queryType(): FullTextQueryType {
-    return FullTextQueryType.Boolean;
-  }
-}

nodejs/lancedb/table.ts

@@ -6,11 +6,9 @@ import {
   Data,
   DataType,
   IntoVector,
-  MultiVector,
   Schema,
   dataTypeToJson,
   fromDataToBuffer,
-  isMultiVector,
   tableFromIPC,
 } from "./arrow";
 
@@ -18,26 +16,13 @@ import { EmbeddingFunctionConfig, getRegistry } from "./embedding/registry";
 import { IndexOptions } from "./indices";
 import { MergeInsertBuilder } from "./merge";
 import {
-  AddColumnsResult,
   AddColumnsSql,
-  AddResult,
-  AlterColumnsResult,
-  DeleteResult,
-  DropColumnsResult,
   IndexConfig,
   IndexStatistics,
   OptimizeStats,
-  TableStatistics,
-  Tags,
-  UpdateResult,
   Table as _NativeTable,
 } from "./native";
-import {
-  FullTextQuery,
-  Query,
-  VectorQuery,
-  instanceOfFullTextQuery,
-} from "./query";
+import { Query, VectorQuery } from "./query";
 import { sanitizeType } from "./sanitize";
 import { IntoSql, toSQL } from "./util";
 export { IndexConfig } from "./native";
@@ -77,10 +62,10 @@ export interface OptimizeOptions {
    * // Delete all versions older than 1 day
    * const olderThan = new Date();
    * olderThan.setDate(olderThan.getDate() - 1));
-   * tbl.optimize({cleanupOlderThan: olderThan});
+   * tbl.cleanupOlderVersions(olderThan);
    *
    * // Delete all versions except the current version
-   * tbl.optimize({cleanupOlderThan: new Date()});
+   * tbl.cleanupOlderVersions(new Date());
    */
   cleanupOlderThan: Date;
   deleteUnverified: boolean;
@@ -134,19 +119,12 @@ export abstract class Table {
   /**
    * Insert records into this Table.
    * @param {Data} data Records to be inserted into the Table
-   * @returns {Promise<AddResult>} A promise that resolves to an object
-   * containing the new version number of the table
    */
-  abstract add(
-    data: Data,
-    options?: Partial<AddDataOptions>,
-  ): Promise<AddResult>;
+  abstract add(data: Data, options?: Partial<AddDataOptions>): Promise<void>;
   /**
    * Update existing records in the Table
    * @param opts.values The values to update. The keys are the column names and the values
    * are the values to set.
-   * @returns {Promise<UpdateResult>} A promise that resolves to an object containing
-   * the number of rows updated and the new version number
    * @example
    * ```ts
    * table.update({where:"x = 2", values:{"vector": [10, 10]}})
@@ -156,13 +134,11 @@ export abstract class Table {
     opts: {
       values: Map<string, IntoSql> | Record<string, IntoSql>;
     } & Partial<UpdateOptions>,
-  ): Promise<UpdateResult>;
+  ): Promise<void>;
   /**
    * Update existing records in the Table
    * @param opts.valuesSql The values to update. The keys are the column names and the values
    * are the values to set. The values are SQL expressions.
-   * @returns {Promise<UpdateResult>} A promise that resolves to an object containing
-   * the number of rows updated and the new version number
    * @example
    * ```ts
    * table.update({where:"x = 2", valuesSql:{"x": "x + 1"}})
@@ -172,7 +148,7 @@ export abstract class Table {
     opts: {
       valuesSql: Map<string, string> | Record<string, string>;
     } & Partial<UpdateOptions>,
-  ): Promise<UpdateResult>;
+  ): Promise<void>;
   /**
    * Update existing records in the Table
    *
@@ -190,8 +166,6 @@ export abstract class Table {
    * repeatedly calilng this method.
    * @param {Map<string, string> | Record<string, string>} updates - the
    * columns to update
-   * @returns {Promise<UpdateResult>} A promise that resolves to an object
-   * containing the number of rows updated and the new version number
    *
    * Keys in the map should specify the name of the column to update.
    * Values in the map provide the new value of the column.  These can
@@ -203,16 +177,12 @@ export abstract class Table {
   abstract update(
     updates: Map<string, string> | Record<string, string>,
     options?: Partial<UpdateOptions>,
-  ): Promise<UpdateResult>;
+  ): Promise<void>;
 
   /** Count the total number of rows in the dataset. */
   abstract countRows(filter?: string): Promise<number>;
-  /**
-   * Delete the rows that satisfy the predicate.
-   * @returns {Promise<DeleteResult>} A promise that resolves to an object
-   * containing the new version number of the table
-   */
-  abstract delete(predicate: string): Promise<DeleteResult>;
+  /** Delete the rows that satisfy the predicate. */
+  abstract delete(predicate: string): Promise<void>;
   /**
    * Create an index to speed up queries.
    *
@@ -260,30 +230,6 @@ export abstract class Table {
    */
   abstract dropIndex(name: string): Promise<void>;
 
-  /**
-   * Prewarm an index in the table.
-   *
-   * @param name The name of the index.
-   *
-   * This will load the index into memory.  This may reduce the cold-start time for
-   * future queries.  If the index does not fit in the cache then this call may be
-   * wasteful.
-   */
-  abstract prewarmIndex(name: string): Promise<void>;
-
-  /**
-   * Waits for asynchronous indexing to complete on the table.
-   *
-   * @param indexNames The name of the indices to wait for
-   * @param timeoutSeconds The number of seconds to wait before timing out
-   *
-   * This will raise an error if the indices are not created and fully indexed within the timeout.
-   */
-  abstract waitForIndex(
-    indexNames: string[],
-    timeoutSeconds: number,
-  ): Promise<void>;
-
   /**
    * Create a {@link Query} Builder.
    *
@@ -348,7 +294,7 @@ export abstract class Table {
    * if the query is a string and no embedding function is defined, it will be treated as a full text search query
    */
   abstract search(
-    query: string | IntoVector | MultiVector | FullTextQuery,
+    query: string | IntoVector,
     queryType?: string,
     ftsColumns?: string | string[],
   ): VectorQuery | Query;
@@ -359,30 +305,22 @@ export abstract class Table {
    * is the same thing as calling `nearestTo` on the builder returned
    * by `query`.  @see {@link Query#nearestTo} for more details.
    */
-  abstract vectorSearch(vector: IntoVector | MultiVector): VectorQuery;
+  abstract vectorSearch(vector: IntoVector): VectorQuery;
   /**
    * Add new columns with defined values.
    * @param {AddColumnsSql[]} newColumnTransforms pairs of column names and
    * the SQL expression to use to calculate the value of the new column. These
    * expressions will be evaluated for each row in the table, and can
    * reference existing columns in the table.
-   * @returns {Promise<AddColumnsResult>} A promise that resolves to an object
-   * containing the new version number of the table after adding the columns.
    */
-  abstract addColumns(
-    newColumnTransforms: AddColumnsSql[],
-  ): Promise<AddColumnsResult>;
+  abstract addColumns(newColumnTransforms: AddColumnsSql[]): Promise<void>;
 
   /**
    * Alter the name or nullability of columns.
    * @param {ColumnAlteration[]} columnAlterations One or more alterations to
    * apply to columns.
-   * @returns {Promise<AlterColumnsResult>} A promise that resolves to an object
-   * containing the new version number of the table after altering the columns.
    */
-  abstract alterColumns(
-    columnAlterations: ColumnAlteration[],
-  ): Promise<AlterColumnsResult>;
+  abstract alterColumns(columnAlterations: ColumnAlteration[]): Promise<void>;
   /**
    * Drop one or more columns from the dataset
    *
@@ -393,10 +331,8 @@ export abstract class Table {
    * @param {string[]} columnNames The names of the columns to drop. These can
    * be nested column references (e.g. "a.b.c") or top-level column names
    * (e.g. "a").
-   * @returns {Promise<DropColumnsResult>} A promise that resolves to an object
-   * containing the new version number of the table after dropping the columns.
    */
-  abstract dropColumns(columnNames: string[]): Promise<DropColumnsResult>;
+  abstract dropColumns(columnNames: string[]): Promise<void>;
   /** Retrieve the version of the table */
 
   abstract version(): Promise<number>;
@@ -409,7 +345,7 @@ export abstract class Table {
    *
    * Calling this method will set the table into time-travel mode. If you
    * wish to return to standard mode, call `checkoutLatest`.
-   * @param {number | string} version The version to checkout, could be version number or tag
+   * @param {number} version The version to checkout
    * @example
    * ```typescript
    * import * as lancedb from "@lancedb/lancedb"
@@ -425,8 +361,7 @@ export abstract class Table {
    * console.log(await table.version()); // 2
    * ```
    */
-  abstract checkout(version: number | string): Promise<void>;
-
+  abstract checkout(version: number): Promise<void>;
   /**
    * Checkout the latest version of the table. _This is an in-place operation._
    *
@@ -440,23 +375,6 @@ export abstract class Table {
    */
   abstract listVersions(): Promise<Version[]>;
 
-  /**
-   * Get a tags manager for this table.
-   *
-   * Tags allow you to label specific versions of a table with a human-readable name.
-   * The returned tags manager can be used to list, create, update, or delete tags.
-   *
-   * @returns {Tags} A tags manager for this table
-   * @example
-   * ```typescript
-   * const tagsManager = await table.tags();
-   * await tagsManager.create("v1", 1);
-   * const tags = await tagsManager.list();
-   * console.log(tags); // { "v1": { version: 1, manifestSize: ... } }
-   * ```
-   */
-  abstract tags(): Promise<Tags>;
-
   /**
    * Restore the table to the currently checked out version
    *
@@ -516,13 +434,6 @@ export abstract class Table {
    * Use {@link Table.listIndices} to find the names of the indices.
    */
   abstract indexStats(name: string): Promise<IndexStatistics | undefined>;
-
-  /** Returns table and fragment statistics
-   *
-   * @returns {TableStatistics} The table and fragment statistics
-   *
-   */
-  abstract stats(): Promise<TableStatistics>;
 }
 
 export class LocalTable extends Table {
@@ -562,12 +473,12 @@ export class LocalTable extends Table {
     return tbl.schema;
   }
 
-  async add(data: Data, options?: Partial<AddDataOptions>): Promise<AddResult> {
+  async add(data: Data, options?: Partial<AddDataOptions>): Promise<void> {
     const mode = options?.mode ?? "append";
     const schema = await this.schema();
 
     const buffer = await fromDataToBuffer(data, undefined, schema);
-    return await this.inner.add(buffer, mode);
+    await this.inner.add(buffer, mode);
   }
 
   async update(
@@ -580,7 +491,7 @@ export class LocalTable extends Table {
           valuesSql: Map<string, string> | Record<string, string>;
         } & Partial<UpdateOptions>),
     options?: Partial<UpdateOptions>,
-  ): Promise<UpdateResult> {
+  ) {
     const isValues =
       "values" in optsOrUpdates && typeof optsOrUpdates.values !== "string";
     const isValuesSql =
@@ -627,54 +538,38 @@ export class LocalTable extends Table {
         columns = Object.entries(optsOrUpdates as Record<string, string>);
         predicate = options?.where;
     }
-    return await this.inner.update(predicate, columns);
+    await this.inner.update(predicate, columns);
   }
 
   async countRows(filter?: string): Promise<number> {
     return await this.inner.countRows(filter);
   }
 
-  async delete(predicate: string): Promise<DeleteResult> {
-    return await this.inner.delete(predicate);
+  async delete(predicate: string): Promise<void> {
+    await this.inner.delete(predicate);
   }
 
   async createIndex(column: string, options?: Partial<IndexOptions>) {
     // Bit of a hack to get around the fact that TS has no package-scope.
     // biome-ignore lint/suspicious/noExplicitAny: skip
     const nativeIndex = (options?.config as any)?.inner;
-    await this.inner.createIndex(
-      nativeIndex,
-      column,
-      options?.replace,
-      options?.waitTimeoutSeconds,
-    );
+    await this.inner.createIndex(nativeIndex, column, options?.replace);
   }
 
   async dropIndex(name: string): Promise<void> {
     await this.inner.dropIndex(name);
   }
 
-  async prewarmIndex(name: string): Promise<void> {
-    await this.inner.prewarmIndex(name);
-  }
-
-  async waitForIndex(
-    indexNames: string[],
-    timeoutSeconds: number,
-  ): Promise<void> {
-    await this.inner.waitForIndex(indexNames, timeoutSeconds);
-  }
-
   query(): Query {
     return new Query(this.inner);
   }
 
   search(
-    query: string | IntoVector | MultiVector | FullTextQuery,
+    query: string | IntoVector,
     queryType: string = "auto",
     ftsColumns?: string | string[],
   ): VectorQuery | Query {
-    if (typeof query !== "string" && !instanceOfFullTextQuery(query)) {
+    if (typeof query !== "string") {
       if (queryType === "fts") {
         throw new Error("Cannot perform full text search on a vector query");
       }
@@ -690,10 +585,7 @@ export class LocalTable extends Table {
 
     // The query type is auto or vector
     // fall back to full text search if no embedding functions are defined and the query is a string
-    if (
-      queryType === "auto" &&
-      (getRegistry().length() === 0 || instanceOfFullTextQuery(query))
-    ) {
+    if (queryType === "auto" && getRegistry().length() === 0) {
       return this.query().fullTextSearch(query, {
         columns: ftsColumns,
       });
@@ -717,29 +609,17 @@ export class LocalTable extends Table {
     return this.query().nearestTo(queryPromise);
   }
 
-  vectorSearch(vector: IntoVector | MultiVector): VectorQuery {
-    if (isMultiVector(vector)) {
-      const query = this.query().nearestTo(vector[0]);
-      for (const v of vector.slice(1)) {
-        query.addQueryVector(v);
-      }
-      return query;
-    }
-
+  vectorSearch(vector: IntoVector): VectorQuery {
     return this.query().nearestTo(vector);
   }
 
   // TODO: Support BatchUDF
 
-  async addColumns(
-    newColumnTransforms: AddColumnsSql[],
-  ): Promise<AddColumnsResult> {
-    return await this.inner.addColumns(newColumnTransforms);
+  async addColumns(newColumnTransforms: AddColumnsSql[]): Promise<void> {
+    await this.inner.addColumns(newColumnTransforms);
   }
 
-  async alterColumns(
-    columnAlterations: ColumnAlteration[],
-  ): Promise<AlterColumnsResult> {
+  async alterColumns(columnAlterations: ColumnAlteration[]): Promise<void> {
     const processedAlterations = columnAlterations.map((alteration) => {
       if (typeof alteration.dataType === "string") {
         return {
@@ -760,22 +640,19 @@ export class LocalTable extends Table {
       }
     });
 
-    return await this.inner.alterColumns(processedAlterations);
+    await this.inner.alterColumns(processedAlterations);
   }
 
-  async dropColumns(columnNames: string[]): Promise<DropColumnsResult> {
-    return await this.inner.dropColumns(columnNames);
+  async dropColumns(columnNames: string[]): Promise<void> {
+    await this.inner.dropColumns(columnNames);
   }
 
   async version(): Promise<number> {
     return await this.inner.version();
   }
 
-  async checkout(version: number | string): Promise<void> {
-    if (typeof version === "string") {
-      return this.inner.checkoutTag(version);
-    }
-    return this.inner.checkout(version);
+  async checkout(version: number): Promise<void> {
+    await this.inner.checkout(version);
   }
 
   async checkoutLatest(): Promise<void> {
@@ -794,10 +671,6 @@ export class LocalTable extends Table {
     await this.inner.restore();
   }
 
-  async tags(): Promise<Tags> {
-    return await this.inner.tags();
-  }
-
   async optimize(options?: Partial<OptimizeOptions>): Promise<OptimizeStats> {
     let cleanupOlderThanMs;
     if (
@@ -828,11 +701,6 @@ export class LocalTable extends Table {
     }
     return stats;
   }
-
-  async stats(): Promise<TableStatistics> {
-    return await this.inner.stats();
-  }
-
   mergeInsert(on: string | string[]): MergeInsertBuilder {
     on = Array.isArray(on) ? on : [on];
     return new MergeInsertBuilder(this.inner.mergeInsert(on), this.schema());

nodejs/npm/darwin-arm64/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.21.2-beta.0",
+	"version": "0.18.2-beta.0",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",

nodejs/npm/darwin-x64/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-x64",
-	"version": "0.21.2-beta.0",
+	"version": "0.18.2-beta.0",
 	"os": ["darwin"],
 	"cpu": ["x64"],
 	"main": "lancedb.darwin-x64.node",

nodejs/npm/linux-arm64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.21.2-beta.0",
+	"version": "0.18.2-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",

nodejs/npm/linux-arm64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.21.2-beta.0",
+	"version": "0.18.2-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",

nodejs/npm/linux-x64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.21.2-beta.0",
+	"version": "0.18.2-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",

nodejs/npm/linux-x64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.21.2-beta.0",
+	"version": "0.18.2-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",

nodejs/npm/win32-arm64-msvc/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.21.2-beta.0",
+  "version": "0.18.2-beta.0",
   "os": [
     "win32"
   ],

nodejs/npm/win32-x64-msvc/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.21.2-beta.0",
+	"version": "0.18.2-beta.0",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",

nodejs/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "@lancedb/lancedb",
-  "version": "0.21.2-beta.0",
+  "version": "0.18.2-beta.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "@lancedb/lancedb",
-      "version": "0.21.2-beta.0",
+      "version": "0.18.2-beta.0",
       "cpu": [
         "x64",
         "arm64"
@@ -2304,20 +2304,89 @@
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.26.2",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
-      "integrity": "sha512-RJlIHRueQgwWitWgF8OdFYGZX328Ax5BCemNGlqHfplnRT9ESi8JkFlvaVYbS+UubVY6dpv87Fs2u5M29iNFVQ==",
+      "version": "7.23.5",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.23.5.tgz",
+      "integrity": "sha512-CgH3s1a96LipHCmSUmYFPwY7MNx8C3avkq7i4Wl3cfa662ldtUe4VM1TPXX70pfmrlWTb6jLqTYrZyT2ZTJBgA==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
-        "@babel/helper-validator-identifier": "^7.25.9",
-        "js-tokens": "^4.0.0",
-        "picocolors": "^1.0.0"
+        "@babel/highlight": "^7.23.4",
+        "chalk": "^2.4.2"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
+    "node_modules/@babel/code-frame/node_modules/ansi-styles": {
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
+      "dev": true,
+      "dependencies": {
+        "color-convert": "^1.9.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/code-frame/node_modules/chalk": {
+      "version": "2.4.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
+      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+      "dev": true,
+      "dependencies": {
+        "ansi-styles": "^3.2.1",
+        "escape-string-regexp": "^1.0.5",
+        "supports-color": "^5.3.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/code-frame/node_modules/color-convert": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
+      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
+      "dev": true,
+      "dependencies": {
+        "color-name": "1.1.3"
+      }
+    },
+    "node_modules/@babel/code-frame/node_modules/color-name": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
+      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
+      "dev": true
+    },
+    "node_modules/@babel/code-frame/node_modules/escape-string-regexp": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
+      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
+      "dev": true,
+      "engines": {
+        "node": ">=0.8.0"
+      }
+    },
+    "node_modules/@babel/code-frame/node_modules/has-flag": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
+      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/code-frame/node_modules/supports-color": {
+      "version": "5.5.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
+      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
+      "dev": true,
+      "dependencies": {
+        "has-flag": "^3.0.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
     "node_modules/@babel/compat-data": {
       "version": "7.23.5",
       "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.5.tgz",
@@ -2520,21 +2589,19 @@
       }
     },
     "node_modules/@babel/helper-string-parser": {
-      "version": "7.25.9",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz",
-      "integrity": "sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==",
+      "version": "7.23.4",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.23.4.tgz",
+      "integrity": "sha512-803gmbQdqwdf4olxrX4AJyFBV/RTr3rSmOj0rKwesmzlfhYNDEs+/iOcznzpNWlJlIlTJC2QfPFcHB6DlzdVLQ==",
       "dev": true,
-      "license": "MIT",
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.25.9",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz",
-      "integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==",
+      "version": "7.22.20",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz",
+      "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==",
       "dev": true,
-      "license": "MIT",
       "engines": {
         "node": ">=6.9.0"
       }
@@ -2549,28 +2616,109 @@
       }
     },
     "node_modules/@babel/helpers": {
-      "version": "7.27.0",
-      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.27.0.tgz",
-      "integrity": "sha512-U5eyP/CTFPuNE3qk+WZMxFkp/4zUzdceQlfzf7DdGdhp+Fezd7HD+i8Y24ZuTMKX3wQBld449jijbGq6OdGNQg==",
+      "version": "7.23.8",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.23.8.tgz",
+      "integrity": "sha512-KDqYz4PiOWvDFrdHLPhKtCThtIcKVy6avWD2oG4GEvyQ+XDZwHD4YQd+H2vNMnq2rkdxsDkU82T+Vk8U/WXHRQ==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
-        "@babel/template": "^7.27.0",
-        "@babel/types": "^7.27.0"
+        "@babel/template": "^7.22.15",
+        "@babel/traverse": "^7.23.7",
+        "@babel/types": "^7.23.6"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/parser": {
-      "version": "7.27.0",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.27.0.tgz",
-      "integrity": "sha512-iaepho73/2Pz7w2eMS0Q5f83+0RKI7i4xmiYeBmDzfRVbQtTOG7Ts0S4HzJVsTMGI9keU8rNfuZr8DKfSt7Yyg==",
+    "node_modules/@babel/highlight": {
+      "version": "7.23.4",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.23.4.tgz",
+      "integrity": "sha512-acGdbYSfp2WheJoJm/EBBBLh/ID8KDc64ISZ9DYtBmC8/Q204PZJLHyzeB5qMzJ5trcOkybd78M4x2KWsUq++A==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
-        "@babel/types": "^7.27.0"
+        "@babel/helper-validator-identifier": "^7.22.20",
+        "chalk": "^2.4.2",
+        "js-tokens": "^4.0.0"
       },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/highlight/node_modules/ansi-styles": {
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
+      "dev": true,
+      "dependencies": {
+        "color-convert": "^1.9.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/highlight/node_modules/chalk": {
+      "version": "2.4.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
+      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+      "dev": true,
+      "dependencies": {
+        "ansi-styles": "^3.2.1",
+        "escape-string-regexp": "^1.0.5",
+        "supports-color": "^5.3.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/highlight/node_modules/color-convert": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
+      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
+      "dev": true,
+      "dependencies": {
+        "color-name": "1.1.3"
+      }
+    },
+    "node_modules/@babel/highlight/node_modules/color-name": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
+      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
+      "dev": true
+    },
+    "node_modules/@babel/highlight/node_modules/escape-string-regexp": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
+      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
+      "dev": true,
+      "engines": {
+        "node": ">=0.8.0"
+      }
+    },
+    "node_modules/@babel/highlight/node_modules/has-flag": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
+      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/highlight/node_modules/supports-color": {
+      "version": "5.5.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
+      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
+      "dev": true,
+      "dependencies": {
+        "has-flag": "^3.0.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/parser": {
+      "version": "7.23.6",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.23.6.tgz",
+      "integrity": "sha512-Z2uID7YJ7oNvAI20O9X0bblw7Qqs8Q2hFy0R9tAfnfLkp5MW0UH9eUvnDSnFwKZ0AvgS1ucqR4KzvVHgnke1VQ==",
+      "dev": true,
       "bin": {
         "parser": "bin/babel-parser.js"
       },
@@ -2756,15 +2904,14 @@
       }
     },
     "node_modules/@babel/template": {
-      "version": "7.27.0",
-      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.27.0.tgz",
-      "integrity": "sha512-2ncevenBqXI6qRMukPlXwHKHchC7RyMuu4xv5JBXRfOGVcTy1mXCD12qrp7Jsoxll1EV3+9sE4GugBVRjT2jFA==",
+      "version": "7.22.15",
+      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.22.15.tgz",
+      "integrity": "sha512-QPErUVm4uyJa60rkI73qneDacvdvzxshT3kksGqlGWYdOTIUOwJ7RDUL8sGqslY1uXWSL6xMFKEXDS3ox2uF0w==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
-        "@babel/code-frame": "^7.26.2",
-        "@babel/parser": "^7.27.0",
-        "@babel/types": "^7.27.0"
+        "@babel/code-frame": "^7.22.13",
+        "@babel/parser": "^7.22.15",
+        "@babel/types": "^7.22.15"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -2801,14 +2948,14 @@
       }
     },
     "node_modules/@babel/types": {
-      "version": "7.27.0",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.27.0.tgz",
-      "integrity": "sha512-H45s8fVLYjbhFH62dIJ3WtmJ6RSPt/3DRO0ZcT2SUiYiQyz3BLVb9ADEnLl91m74aQPS3AzzeajZHYOalWe3bg==",
+      "version": "7.23.6",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.6.tgz",
+      "integrity": "sha512-+uarb83brBzPKN38NX1MkB6vb6+mwvR6amUulqAE7ccQw1pEl+bCia9TbdG1lsnFP7lZySvUn37CHyXQdfTwzg==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
-        "@babel/helper-string-parser": "^7.25.9",
-        "@babel/helper-validator-identifier": "^7.25.9"
+        "@babel/helper-string-parser": "^7.23.4",
+        "@babel/helper-validator-identifier": "^7.22.20",
+        "to-fast-properties": "^2.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -5403,11 +5550,10 @@
       "devOptional": true
     },
     "node_modules/axios": {
-      "version": "1.8.4",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.8.4.tgz",
-      "integrity": "sha512-eBSYY4Y68NNlHbHBMdeDmKNtDgXWhQsJcGqzO3iLUM0GraQFSS9cVgPX5I9b3lbdFKyYoAEGAZF1DwhTaljNAw==",
+      "version": "1.7.7",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.7.tgz",
+      "integrity": "sha512-S4kL7XrjgBmvdGut0sN3yJxqYzrDOnivkBiN0OFs6hLiUam3UPvswUo0kqGyhqUZGEOytHyumEdXsAkgCOUf3Q==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "follow-redirects": "^1.15.6",
         "form-data": "^4.0.0",
@@ -7723,8 +7869,7 @@
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
       "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==",
-      "dev": true,
-      "license": "MIT"
+      "dev": true
     },
     "node_modules/js-yaml": {
       "version": "3.14.1",
@@ -9215,6 +9360,15 @@
       "integrity": "sha512-3f0uOEAQwIqGuWW2MVzYg8fV/QNnc/IpuJNG837rLuczAaLVHslWHZQj4IGiEl5Hs3kkbhwL9Ab7Hrsmuj+Smw==",
       "dev": true
     },
+    "node_modules/to-fast-properties": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-2.0.0.tgz",
+      "integrity": "sha512-/OaKK0xYrs3DmxRYqL/yDc+FxFUVYhDlXMhRmv3z915w2HF1tnN1omB354j8VUGO/hbRzyD6Y3sA7v7GS/ceog==",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
     "node_modules/to-regex-range": {
       "version": "5.0.1",
       "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",

nodejs/package.json

@@ -11,7 +11,7 @@
     "ann"
   ],
   "private": false,
-  "version": "0.21.2-beta.0",
+  "version": "0.18.2-beta.0",
   "main": "dist/index.js",
   "exports": {
     ".": "./dist/index.js",
@@ -29,7 +29,6 @@
         "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"

nodejs/src/index.rs

@@ -123,44 +123,34 @@ impl Index {
         stem: Option<bool>,
         remove_stop_words: Option<bool>,
         ascii_folding: Option<bool>,
-        ngram_min_length: Option<u32>,
-        ngram_max_length: Option<u32>,
-        prefix_only: Option<bool>,
     ) -> Self {
         let mut opts = FtsIndexBuilder::default();
+        let mut tokenizer_configs = opts.tokenizer_configs.clone();
         if let Some(with_position) = with_position {
             opts = opts.with_position(with_position);
         }
         if let Some(base_tokenizer) = base_tokenizer {
-            opts = opts.base_tokenizer(base_tokenizer);
+            tokenizer_configs = tokenizer_configs.base_tokenizer(base_tokenizer);
         }
         if let Some(language) = language {
-            opts = opts.language(&language).unwrap();
+            tokenizer_configs = tokenizer_configs.language(&language).unwrap();
         }
         if let Some(max_token_length) = max_token_length {
-            opts = opts.max_token_length(Some(max_token_length as usize));
+            tokenizer_configs = tokenizer_configs.max_token_length(Some(max_token_length as usize));
         }
         if let Some(lower_case) = lower_case {
-            opts = opts.lower_case(lower_case);
+            tokenizer_configs = tokenizer_configs.lower_case(lower_case);
         }
         if let Some(stem) = stem {
-            opts = opts.stem(stem);
+            tokenizer_configs = tokenizer_configs.stem(stem);
         }
         if let Some(remove_stop_words) = remove_stop_words {
-            opts = opts.remove_stop_words(remove_stop_words);
+            tokenizer_configs = tokenizer_configs.remove_stop_words(remove_stop_words);
         }
         if let Some(ascii_folding) = ascii_folding {
-            opts = opts.ascii_folding(ascii_folding);
-        }
-        if let Some(ngram_min_length) = ngram_min_length {
-            opts = opts.ngram_min_length(ngram_min_length);
-        }
-        if let Some(ngram_max_length) = ngram_max_length {
-            opts = opts.ngram_max_length(ngram_max_length);
-        }
-        if let Some(prefix_only) = prefix_only {
-            opts = opts.ngram_prefix_only(prefix_only);
+            tokenizer_configs = tokenizer_configs.ascii_folding(ascii_folding);
         }
+        opts.tokenizer_configs = tokenizer_configs;
 
         Self {
             inner: Mutex::new(Some(LanceDbIndex::FTS(opts))),

nodejs/src/merge.rs

@@ -1,13 +1,11 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors
 
-use std::time::Duration;
-
 use lancedb::{arrow::IntoArrow, ipc::ipc_file_to_batches, table::merge::MergeInsertBuilder};
 use napi::bindgen_prelude::*;
 use napi_derive::napi;
 
-use crate::{error::convert_error, table::MergeResult};
+use crate::error::convert_error;
 
 #[napi]
 #[derive(Clone)]
@@ -38,13 +36,8 @@ impl NativeMergeInsertBuilder {
         this
     }
 
-    #[napi]
-    pub fn set_timeout(&mut self, timeout: u32) {
-        self.inner.timeout(Duration::from_millis(timeout as u64));
-    }
-
     #[napi(catch_unwind)]
-    pub async fn execute(&self, buf: Buffer) -> napi::Result<MergeResult> {
+    pub async fn execute(&self, buf: Buffer) -> napi::Result<()> {
         let data = ipc_file_to_batches(buf.to_vec())
             .and_then(IntoArrow::into_arrow)
             .map_err(|e| {
@@ -53,13 +46,12 @@ impl NativeMergeInsertBuilder {
 
         let this = self.clone();
 
-        let res = this.inner.execute(data).await.map_err(|e| {
+        this.inner.execute(data).await.map_err(|e| {
             napi::Error::from_reason(format!(
                 "Failed to execute merge insert: {}",
                 convert_error(&e)
             ))
-        })?;
-        Ok(res.into())
+        })
     }
 }
 

nodejs/src/query.rs

@@ -3,10 +3,7 @@
 
 use std::sync::Arc;
 
-use lancedb::index::scalar::{
-    BooleanQuery, BoostQuery, FtsQuery, FullTextSearchQuery, MatchQuery, MultiMatchQuery, Occur,
-    Operator, PhraseQuery,
-};
+use lancedb::index::scalar::FullTextSearchQuery;
 use lancedb::query::ExecutableQuery;
 use lancedb::query::Query as LanceDbQuery;
 use lancedb::query::QueryBase;
@@ -41,10 +38,9 @@ impl Query {
     }
 
     #[napi]
-    pub fn full_text_search(&mut self, query: napi::JsObject) -> napi::Result<()> {
-        let query = parse_fts_query(query)?;
+    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
+        let query = FullTextSearchQuery::new(query).columns(columns);
         self.inner = self.inner.clone().full_text_search(query);
-        Ok(())
     }
 
     #[napi]
@@ -91,15 +87,11 @@ impl Query {
     pub async fn execute(
         &self,
         max_batch_length: Option<u32>,
-        timeout_ms: Option<u32>,
     ) -> napi::Result<RecordBatchIterator> {
         let mut execution_opts = QueryExecutionOptions::default();
         if let Some(max_batch_length) = max_batch_length {
             execution_opts.max_batch_length = max_batch_length;
         }
-        if let Some(timeout_ms) = timeout_ms {
-            execution_opts.timeout = Some(std::time::Duration::from_millis(timeout_ms as u64))
-        }
         let inner_stream = self
             .inner
             .execute_with_options(execution_opts)
@@ -122,16 +114,6 @@ impl Query {
             ))
         })
     }
-
-    #[napi(catch_unwind)]
-    pub async fn analyze_plan(&self) -> napi::Result<String> {
-        self.inner.analyze_plan().await.map_err(|e| {
-            napi::Error::from_reason(format!(
-                "Failed to execute analyze plan: {}",
-                convert_error(&e)
-            ))
-        })
-    }
 }
 
 #[napi]
@@ -178,31 +160,6 @@ impl VectorQuery {
         self.inner = self.inner.clone().nprobes(nprobe as usize);
     }
 
-    #[napi]
-    pub fn minimum_nprobes(&mut self, minimum_nprobe: u32) -> napi::Result<()> {
-        self.inner = self
-            .inner
-            .clone()
-            .minimum_nprobes(minimum_nprobe as usize)
-            .default_error()?;
-        Ok(())
-    }
-
-    #[napi]
-    pub fn maximum_nprobes(&mut self, maximum_nprobes: u32) -> napi::Result<()> {
-        let maximum_nprobes = if maximum_nprobes == 0 {
-            None
-        } else {
-            Some(maximum_nprobes as usize)
-        };
-        self.inner = self
-            .inner
-            .clone()
-            .maximum_nprobes(maximum_nprobes)
-            .default_error()?;
-        Ok(())
-    }
-
     #[napi]
     pub fn distance_range(&mut self, lower_bound: Option<f64>, upper_bound: Option<f64>) {
         // napi doesn't support f32, so we have to convert to f32
@@ -228,10 +185,9 @@ impl VectorQuery {
     }
 
     #[napi]
-    pub fn full_text_search(&mut self, query: napi::JsObject) -> napi::Result<()> {
-        let query = parse_fts_query(query)?;
+    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
+        let query = FullTextSearchQuery::new(query).columns(columns);
         self.inner = self.inner.clone().full_text_search(query);
-        Ok(())
     }
 
     #[napi]
@@ -276,15 +232,11 @@ impl VectorQuery {
     pub async fn execute(
         &self,
         max_batch_length: Option<u32>,
-        timeout_ms: Option<u32>,
     ) -> napi::Result<RecordBatchIterator> {
         let mut execution_opts = QueryExecutionOptions::default();
         if let Some(max_batch_length) = max_batch_length {
             execution_opts.max_batch_length = max_batch_length;
         }
-        if let Some(timeout_ms) = timeout_ms {
-            execution_opts.timeout = Some(std::time::Duration::from_millis(timeout_ms as u64))
-        }
         let inner_stream = self
             .inner
             .execute_with_options(execution_opts)
@@ -307,169 +259,4 @@ impl VectorQuery {
             ))
         })
     }
-
-    #[napi(catch_unwind)]
-    pub async fn analyze_plan(&self) -> napi::Result<String> {
-        self.inner.analyze_plan().await.map_err(|e| {
-            napi::Error::from_reason(format!(
-                "Failed to execute analyze plan: {}",
-                convert_error(&e)
-            ))
-        })
-    }
-}
-
-#[napi]
-#[derive(Debug, Clone)]
-pub struct JsFullTextQuery {
-    pub(crate) inner: FtsQuery,
-}
-
-#[napi]
-impl JsFullTextQuery {
-    #[napi(factory)]
-    pub fn match_query(
-        query: String,
-        column: String,
-        boost: f64,
-        fuzziness: Option<u32>,
-        max_expansions: u32,
-        operator: String,
-        prefix_length: u32,
-    ) -> napi::Result<Self> {
-        Ok(Self {
-            inner: MatchQuery::new(query)
-                .with_column(Some(column))
-                .with_boost(boost as f32)
-                .with_fuzziness(fuzziness)
-                .with_max_expansions(max_expansions as usize)
-                .with_operator(
-                    Operator::try_from(operator.as_str()).map_err(|e| {
-                        napi::Error::from_reason(format!("Invalid operator: {}", e))
-                    })?,
-                )
-                .with_prefix_length(prefix_length)
-                .into(),
-        })
-    }
-
-    #[napi(factory)]
-    pub fn phrase_query(query: String, column: String, slop: u32) -> napi::Result<Self> {
-        Ok(Self {
-            inner: PhraseQuery::new(query)
-                .with_column(Some(column))
-                .with_slop(slop)
-                .into(),
-        })
-    }
-
-    #[napi(factory)]
-    #[allow(clippy::use_self)] // NAPI doesn't allow Self here but clippy reports it
-    pub fn boost_query(
-        positive: &JsFullTextQuery,
-        negative: &JsFullTextQuery,
-        negative_boost: Option<f64>,
-    ) -> napi::Result<Self> {
-        Ok(Self {
-            inner: BoostQuery::new(
-                positive.inner.clone(),
-                negative.inner.clone(),
-                negative_boost.map(|v| v as f32),
-            )
-            .into(),
-        })
-    }
-
-    #[napi(factory)]
-    pub fn multi_match_query(
-        query: String,
-        columns: Vec<String>,
-        boosts: Option<Vec<f64>>,
-        operator: String,
-    ) -> napi::Result<Self> {
-        let q = match boosts {
-            Some(boosts) => MultiMatchQuery::try_new(query, columns)
-                .and_then(|q| q.try_with_boosts(boosts.into_iter().map(|v| v as f32).collect())),
-            None => MultiMatchQuery::try_new(query, columns),
-        }
-        .map_err(|e| {
-            napi::Error::from_reason(format!("Failed to create multi match query: {}", e))
-        })?;
-
-        let operator = Operator::try_from(operator.as_str()).map_err(|e| {
-            napi::Error::from_reason(format!("Invalid operator for multi match query: {}", e))
-        })?;
-
-        Ok(Self {
-            inner: q.with_operator(operator).into(),
-        })
-    }
-
-    #[napi(factory)]
-    pub fn boolean_query(queries: Vec<(String, &JsFullTextQuery)>) -> napi::Result<Self> {
-        let mut sub_queries = Vec::with_capacity(queries.len());
-        for (occur, q) in queries {
-            let occur = Occur::try_from(occur.as_str())
-                .map_err(|e| napi::Error::from_reason(e.to_string()))?;
-            sub_queries.push((occur, q.inner.clone()));
-        }
-        Ok(Self {
-            inner: BooleanQuery::new(sub_queries).into(),
-        })
-    }
-
-    #[napi(getter)]
-    pub fn query_type(&self) -> String {
-        match self.inner {
-            FtsQuery::Match(_) => "match".to_string(),
-            FtsQuery::Phrase(_) => "phrase".to_string(),
-            FtsQuery::Boost(_) => "boost".to_string(),
-            FtsQuery::MultiMatch(_) => "multi_match".to_string(),
-            FtsQuery::Boolean(_) => "boolean".to_string(),
-        }
-    }
-}
-
-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") {
-        let mut query_text = query_text;
-        let columns = query.get::<_, Option<Vec<String>>>("columns")?.flatten();
-
-        let is_phrase =
-            query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
-        let is_multi_match = columns.as_ref().map(|cols| cols.len() > 1).unwrap_or(false);
-
-        if is_phrase {
-            // Remove the surrounding quotes for phrase queries
-            query_text = query_text[1..query_text.len() - 1].to_string();
-        }
-
-        let query: FtsQuery = match (is_phrase, is_multi_match) {
-            (false, _) => MatchQuery::new(query_text).into(),
-            (true, false) => PhraseQuery::new(query_text).into(),
-            (true, true) => {
-                return Err(napi::Error::from_reason(
-                    "Phrase queries cannot be used with multiple columns.",
-                ));
-            }
-        };
-        let mut query = FullTextSearchQuery::new_query(query);
-        if let Some(cols) = columns {
-            if !cols.is_empty() {
-                query = query.with_columns(&cols).map_err(|e| {
-                    napi::Error::from_reason(format!(
-                        "Failed to set full text search columns: {}",
-                        e
-                    ))
-                })?;
-            }
-        }
-        Ok(query)
-    } else {
-        Err(napi::Error::from_reason(
-            "Invalid full text search query object".to_string(),
-        ))
-    }
 }