Bump version: 0.37.0-beta.0 → 0.37.1-beta.0

2026-08-28 08:58:41 +00:00 · 2026-07-29 07:11:47 +00:00
146 changed files with 2257 additions and 13096 deletions
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.37.1"
+current_version = "0.37.1-beta.0"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
@@ -1,222 +0,0 @@
-name: Check doc links
-
-# Checking external links is inherently noisy: third-party sites rate-limit
-# automated clients, reject non-browser user agents, and go down temporarily.
-# Blocking pull requests on that trades a lot of false failures for very little
-# signal, so this runs on a schedule and reports findings in a single tracking
-# issue instead of failing anyone's build.
-on:
-  schedule:
-    - cron: "0 7 * * *"
-  workflow_dispatch:
-
-# The report lives in one repository-global issue, so runs must not overlap: a
-# lookup racing a create produces duplicate issues, and a healthy run closing
-# the issue while a failing run only rewrites its body would leave a broken
-# report closed. The group is deliberately ref-independent so that a manual
-# dispatch serializes against the scheduled run.
-concurrency:
-  group: docs-link-check
-  cancel-in-progress: false
-
-permissions: {}
-
-env:
-  REPORT_TITLE: "Docs link checker report"
-
-jobs:
-  scan:
-    name: Scan links
-    runs-on: ubuntu-24.04
-    # lychee-action is pinned by SHA, but its wrapper downloads the lychee
-    # release tarball at run time without verifying a digest, and hands the
-    # resulting binary a GitHub token. Release assets remain replaceable, so
-    # that binary is confined to a job whose token can only read public
-    # content; everything that writes runs in the report job below.
-    permissions:
-      contents: read
-    outputs:
-      exit_code: ${{ steps.lychee.outputs.exit_code }}
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          # workflow_dispatch can run from any ref, but the report is
-          # repository-global. Always measure the default branch so a manual
-          # run from a topic branch cannot close a report that main warrants,
-          # or overwrite it with branch-only findings.
-          ref: ${{ github.event.repository.default_branch }}
-          persist-credentials: false
-
-      - name: Check links
-        id: lychee
-        uses: lycheeverse/lychee-action@e7477775783ea5526144ba13e8db5eec57747ce8 # v2.9.0
-        with:
-          # Restricted to http(s) on purpose. Much of docs/src is generated
-          # API reference (the js/ tree comes from `npm run docs` in nodejs)
-          # and the hand-written pages use mkdocstrings cross-references and
-          # nav-relative paths that only resolve in the site mkdocs builds,
-          # not in this checkout, so relative links would be reported as
-          # broken on every run.
-          args: >-
-            --scheme https
-            --scheme http
-            --no-progress
-            --max-retries 3
-            --timeout 20
-            'docs/src/**/*.md'
-          format: json
-          output: ./lychee/out.json
-          jobSummary: false
-          # The report, not a red build, is the signal for broken links. The
-          # validation step below still fails the run if the check itself
-          # breaks.
-          fail: false
-
-      - name: Validate report
-        # lychee does not reserve exit code 2 for broken links: its CLI
-        # parser also exits 2 on an invalid option, before any link was
-        # checked or any report written. Only a parseable report whose
-        # counts agree with the exit code counts as a link verdict; anything
-        # else fails here, and the report job below is skipped entirely, so
-        # the tracking issue is never touched. Exit 2 covers timeouts as
-        # well as errors, and a timed-out host is exactly the transient
-        # unavailability this report exists to surface, so both count as
-        # findings. Requiring total > 0 also catches a glob that silently
-        # stopped matching any file.
-        if: steps.lychee.outputs.exit_code == 0 || steps.lychee.outputs.exit_code == 2
-        env:
-          EXIT_CODE: ${{ steps.lychee.outputs.exit_code }}
-        run: |
-          jq -e --argjson code "$EXIT_CODE" '
-            (.total > 0) and
-            (if $code == 0
-             then .errors == 0 and .timeouts == 0
-               and (.error_map | length == 0) and (.timeout_map | length == 0)
-             else (.errors + .timeouts) > 0
-               and ((.error_map | length) + (.timeout_map | length)) > 0
-             end)
-          ' ./lychee/out.json
-
-      - name: Upload report
-        if: steps.lychee.outputs.exit_code == 2
-        uses: actions/upload-artifact@v7
-        with:
-          name: link-report
-          path: ./lychee/out.json
-          retention-days: 7
-
-  report:
-    name: Update report issue
-    needs: scan
-    runs-on: ubuntu-24.04
-    # Deliberately no checkout: this job needs the report artifact and the
-    # issues API, not the repository contents.
-    permissions:
-      issues: write
-    env:
-      EXIT_CODE: ${{ needs.scan.outputs.exit_code }}
-      GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-    steps:
-      - name: Classify checker result
-        # lychee exits 0 when every link resolves and 2 when links fail,
-        # both already cross-checked against the report by the scan job's
-        # validation step. Anything else (1 runtime, 3 bad config) means the
-        # check never produced a link verdict, which must surface as a failed
-        # run rather than be published as "broken documentation links".
-        run: |
-          case "$EXIT_CODE" in
-            0|2)
-              echo "lychee exit code $EXIT_CODE"
-              ;;
-            *)
-              echo "::error::lychee exited with '$EXIT_CODE': the link check did not complete. Leaving the report issue untouched."
-              exit 1
-              ;;
-          esac
-
-      - name: Find existing report issue
-        id: report
-        # Matched on title alone, and through search rather than a listing:
-        # the issue action applies labels in a separate call after creating the
-        # issue, so a label filter misses a half-created report, and this
-        # repository has far more open issues than one listing page holds.
-        # Closed issues are included because a healthy run closes the report:
-        # an open-only lookup would forget that identity and the next failing
-        # run would open a duplicate. The oldest match stays the canonical
-        # report and is reopened below when links break again.
-        run: |
-          match=$(gh issue list --repo "$GITHUB_REPOSITORY" --state all \
-            --search "in:title \"$REPORT_TITLE\" author:app/github-actions" \
-            --limit 50 --json number,title,state \
-            --jq "[.[] | select(.title == \"$REPORT_TITLE\")] | sort_by(.number) | first // empty")
-          echo "number=$(jq -r '.number // empty' <<<"$match")" >> "$GITHUB_OUTPUT"
-          echo "state=$(jq -r '.state // empty' <<<"$match")" >> "$GITHUB_OUTPUT"
-
-      - name: Download report
-        if: env.EXIT_CODE == 2
-        uses: actions/download-artifact@v8
-        with:
-          name: link-report
-          path: ./lychee
-
-      - name: Compose report
-        if: env.EXIT_CODE == 2
-        run: |
-          run_url="$GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
-          {
-            echo "Broken documentation links found by [\`$GITHUB_WORKFLOW\`]($run_url)."
-            echo
-            echo "This issue is rewritten by every scheduled run and closed automatically once all links resolve."
-            echo
-            echo "Entries can be false positives: some sites rate-limit or block automated clients while working fine in a browser. Confirm before editing the docs, and add persistent offenders to \`--exclude\` in \`.github/workflows/docs-link-check.yml\`."
-            echo
-            # Timeouts are reported alongside errors: entries land in
-            # timeout_map with a status text instead of an HTTP code.
-            jq -r '
-              "\(.errors) of \(.total) links failed, \(.timeouts) timed out.",
-              "",
-              ([(.error_map | to_entries[]), (.timeout_map | to_entries[])]
-               | group_by(.key)[] |
-                "### Errors in \(.[0].key)",
-                "",
-                (map(.value[])[] | "* [\(.status.code // .status.text // "ERR")] <\(.url)> — \(.status.details // .status.text // "unknown error")"),
-                "")
-            ' ./lychee/out.json
-          } > ./lychee/issue.md
-
-      - name: Reopen report issue
-        # A healthy run closes the report, and the issue action below only
-        # rewrites the body of whatever number it is given. Without an
-        # explicit reopen, the 2 -> 0 -> 2 sequence would keep rewriting a
-        # closed issue while links are broken. A CLOSED state implies the
-        # lookup found a canonical issue, so no separate emptiness check.
-        if: env.EXIT_CODE == 2 && steps.report.outputs.state == 'CLOSED'
-        env:
-          ISSUE_NUMBER: ${{ steps.report.outputs.number }}
-        run: |
-          run_url="$GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
-          gh issue reopen "$ISSUE_NUMBER" --repo "$GITHUB_REPOSITORY" \
-            --comment "Broken documentation links found again in [the latest run]($run_url)."
-
-      - name: Report broken links
-        if: env.EXIT_CODE == 2
-        uses: peter-evans/create-issue-from-file@fca9117c27cdc29c6c4db3b86c48e4115a786710 # v6.0.0
-        with:
-          # Empty on the first failing run, which creates the issue; afterwards
-          # the same issue is updated in place.
-          issue-number: ${{ steps.report.outputs.number }}
-          title: ${{ env.REPORT_TITLE }}
-          content-filepath: ./lychee/issue.md
-          labels: documentation
-
-      - name: Close report issue once links are healthy
-        # An OPEN state implies the lookup found a canonical issue; a report
-        # that is already closed needs nothing.
-        if: env.EXIT_CODE == 0 && steps.report.outputs.state == 'OPEN'
-        env:
-          ISSUE_NUMBER: ${{ steps.report.outputs.number }}
-        run: |
-          run_url="$GITHUB_SERVER_URL/$GITHUB_REPOSITORY/actions/runs/$GITHUB_RUN_ID"
-          gh issue close "$ISSUE_NUMBER" --repo "$GITHUB_REPOSITORY" \
-            --comment "All documentation links resolved in [the latest run]($run_url)."
@@ -1,8 +1,7 @@
 name: Create release commit

-# This workflow increments the version, updates lockfiles, tags the final
-# commit, and pushes it. All SDKs share a single version, so one tag releases
-# all of them.
+# This workflow increments the version, tags it, and pushes it. All SDKs share
+# a single version, so one tag releases all of them.
 # When a tag is pushed, another workflow is triggered that creates a GH release
 # and uploads the binaries. This workflow is only for creating the tag.

@@ -64,7 +63,6 @@ jobs:
          pip install bump-my-version PyGithub packaging
          bash ci/bump_version.sh ${{ inputs.type }} ${{ inputs.bump-minor }}
          bash ci/update_lockfiles.sh --amend
-          bash ci/create_release_tag.sh
      - name: Push new version tag
        if: ${{ !inputs.dry_run }}
        uses: ad-m/github-push-action@881a6320fdb16eb5318c5054f31c218aec2b324c # v1.3.0
@@ -4,16 +4,6 @@ on:
  push:
    tags:
      - 'v*'
-  workflow_dispatch:
-    inputs:
-      release_tag:
-        description: Stable release tag to recover (for example, v0.37.1)
-        required: true
-        type: string
-      source_run_id:
-        description: Failed tag workflow run containing the completed non-Windows wheels
-        required: true
-        type: string
  pull_request:
    # This should trigger a dry run (we skip the final publish step)
    paths:
@@ -39,7 +29,6 @@ concurrency:
 jobs:
  linux:
    name: Python ${{ matrix.config.package_name }} ${{ matrix.config.platform }} manylinux${{ matrix.config.manylinux }}
-    if: github.event_name != 'workflow_dispatch'
    timeout-minutes: 60
    strategy:
      matrix:
@@ -95,7 +84,6 @@ jobs:
          path: target/wheels/*.whl
          if-no-files-found: error
  mac:
-    if: github.event_name != 'workflow_dispatch'
    timeout-minutes: 90
    runs-on: ${{ matrix.config.runner }}
    strategy:
@@ -125,8 +113,7 @@ jobs:
          path: target/wheels/lancedb-*.whl
          if-no-files-found: error
  windows:
-    if: github.event_name != 'workflow_dispatch'
-    timeout-minutes: 120
+    timeout-minutes: 90
    runs-on: windows-latest
    env:
      # link.exe is single-threaded and the long pole on Windows builds. Use
@@ -158,32 +145,6 @@ jobs:
          name: wheels-windows
          path: target/wheels/lancedb-*.whl
          if-no-files-found: error
-  recover-windows:
-    name: Recover Windows wheel
-    if: github.event_name == 'workflow_dispatch'
-    timeout-minutes: 120
-    runs-on: windows-latest
-    env:
-      CARGO_TARGET_X86_64_PC_WINDOWS_MSVC_LINKER: rust-lld
-    steps:
-      - uses: actions/checkout@v6
-        with:
-          ref: ${{ inputs.release_tag }}
-          fetch-depth: 0
-          lfs: true
-      - name: Set up Python
-        uses: actions/setup-python@v6
-        with:
-          python-version: "3.13"
-      - uses: ./.github/workflows/build_windows_wheel
-        with:
-          python-minor-version: 10
-          args: "--release --strip"
-      - uses: actions/upload-artifact@v7
-        with:
-          name: wheels-windows-recovery
-          path: target/wheels/lancedb-*.whl
-          if-no-files-found: error
  publish:
    name: Publish wheels
    if: startsWith(github.ref, 'refs/tags/v')
@@ -204,13 +165,11 @@ jobs:
        run: ls -la target/wheels
      - name: Choose repo
        id: choose_repo
-        env:
-          RELEASE_REF: ${{ github.ref }}
        run: |
-          if [[ "$RELEASE_REF" == *beta* ]]; then
-            echo "repo=fury" >> "$GITHUB_OUTPUT"
+          if [[ ${{ github.ref }} == *beta* ]]; then
+            echo "repo=fury" >> $GITHUB_OUTPUT
          else
-            echo "repo=pypi" >> "$GITHUB_OUTPUT"
+            echo "repo=pypi" >> $GITHUB_OUTPUT
          fi
      - name: Publish to Fury
        if: steps.choose_repo.outputs.repo == 'fury'
@@ -237,71 +196,6 @@ jobs:
        uses: pypa/gh-action-pypi-publish@release/v1
        with:
          packages-dir: target/wheels/
-  recover-publish:
-    name: Recover PyPI publish
-    if: github.event_name == 'workflow_dispatch'
-    needs: [recover-windows]
-    runs-on: ubuntu-latest
-    permissions:
-      actions: read
-      id-token: write
-      contents: read
-    steps:
-      - uses: actions/checkout@v6
-        with:
-          ref: ${{ inputs.release_tag }}
-          fetch-depth: 0
-      - name: Verify recovery source
-        env:
-          GH_TOKEN: ${{ github.token }}
-          RELEASE_TAG: ${{ inputs.release_tag }}
-          SOURCE_RUN_ID: ${{ inputs.source_run_id }}
-        run: |
-          if [[ "$RELEASE_TAG" != v* || "$RELEASE_TAG" == *beta* ]]; then
-            echo "Recovery only supports stable v* release tags" >&2
-            exit 1
-          fi
-          TAG_SHA=$(git rev-parse HEAD)
-          RUN_SHA=$(gh api "/repos/${{ github.repository }}/actions/runs/$SOURCE_RUN_ID" --jq .head_sha)
-          if [[ "$TAG_SHA" != "$RUN_SHA" ]]; then
-            echo "Source run $SOURCE_RUN_ID ($RUN_SHA) does not match $RELEASE_TAG ($TAG_SHA)" >&2
-            exit 1
-          fi
-      - name: Download Linux wheel artifacts
-        uses: actions/download-artifact@v8
-        with:
-          github-token: ${{ github.token }}
-          repository: ${{ github.repository }}
-          run-id: ${{ inputs.source_run_id }}
-          pattern: wheels-linux-*
-          path: target/wheels
-          merge-multiple: true
-      - name: Download macOS wheel artifacts
-        uses: actions/download-artifact@v8
-        with:
-          github-token: ${{ github.token }}
-          repository: ${{ github.repository }}
-          run-id: ${{ inputs.source_run_id }}
-          pattern: wheels-mac-*
-          path: target/wheels
-          merge-multiple: true
-      - name: Download recovered Windows wheel
-        uses: actions/download-artifact@v8
-        with:
-          name: wheels-windows-recovery
-          path: target/wheels
-      - name: Validate recovered wheels
-        run: |
-          find target/wheels -maxdepth 1 -type f -name '*.whl' -print
-          WHEEL_COUNT=$(find target/wheels -maxdepth 1 -type f -name '*.whl' | wc -l)
-          if [[ "$WHEEL_COUNT" -ne 5 ]]; then
-            echo "Expected 5 wheels, found $WHEEL_COUNT" >&2
-            exit 1
-          fi
-      - name: Publish to PyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
-        with:
-          packages-dir: target/wheels/
  report-failure:
    name: Report Workflow Failure
    runs-on: ubuntu-latest
@@ -296,18 +296,16 @@ jobs:
          cargo update -p aws-types --precise 1.3.9
          cargo update -p aws-sigv4 --precise 1.3.5
          cargo update -p aws-credential-types --precise 1.2.8
-          # aws-smithy-checksums must stay at or above 0.63.13: OpenDAL's S3
-          # service needs crc-fast ~1.9, and older releases pin it to ~1.3.
-          cargo update -p aws-smithy-checksums --precise 0.63.13
+          cargo update -p aws-smithy-checksums --precise 0.63.9
          cargo update -p aws-smithy-runtime --precise 1.9.3
-          cargo update -p aws-smithy-http --precise 0.62.6
-          cargo update -p aws-smithy-eventstream --precise 0.60.14
+          cargo update -p aws-smithy-http --precise 0.62.4
+          cargo update -p aws-smithy-eventstream --precise 0.60.12
          cargo update -p aws-smithy-http-client --precise 1.1.3
          cargo update -p aws-smithy-observability --precise 0.1.4
          cargo update -p aws-smithy-query --precise 0.60.8
-          cargo update -p aws-smithy-runtime-api --precise 1.9.3
-          cargo update -p aws-smithy-async --precise 1.2.7
-          cargo update -p aws-smithy-types --precise 1.3.6
+          cargo update -p aws-smithy-runtime-api --precise 1.9.1
+          cargo update -p aws-smithy-async --precise 1.2.6
+          cargo update -p aws-smithy-types --precise 1.3.5
          cargo update -p aws-smithy-xml --precise 0.60.11
          cargo update -p home --precise 0.5.9
      - name: cargo +${{ matrix.msrv }} check
@@ -92,8 +92,6 @@ Python bindings changes:
    * Should use `LOOP.run()` to call the corresponding `AsyncTable` method.
 6. Add concrete sync method to `RemoteTable` class in `python/python/lancedb/remote/table.py`.
 7. Add unit test in `python/tests/test_table.py`.
-8. If you added a new public class or module-level function (not just a method on an
-   existing class), expose it in the API reference. See "Python API reference" below.

 TypeScript bindings changes:

@@ -105,33 +103,6 @@ TypeScript bindings changes:
 5. Add test in `nodejs/__test__/table.test.ts`.
 6. Run `npm run docs` to generate TypeScript documentation.

-## Python API reference
-
-`docs/src/python/python.md` is the entire Python API reference. It is maintained by
-hand, and anything not listed there is not rendered at all, so new public classes and
-module-level functions have to be added explicitly. How depends on the module:
-
-* `lancedb.index`, `lancedb.embeddings`, `lancedb.remote`, and `lancedb.rerankers` are
-  rendered by a single directive each, driven by the module's `__all__`. Add the new
-  name to `__all__` and it appears; forget, and it is silently omitted.
-* Everything else (`lancedb`, `lancedb.table`, `lancedb.query`, `lancedb.db`, ...) is
-  listed symbol by symbol. Add a `::: lancedb.<module>.<Name>` line to the matching
-  section, and remember that the page separates synchronous and asynchronous APIs.
-
-Deliberately undocumented: concrete implementations reached through an abstract base
-(`LanceTable`, `LanceDBConnection`, `RemoteDBConnection`), query base classes already
-covered by `inherited_members`, and internal helpers.
-
-Cross-references in docstrings use mkdocstrings syntax, `[text][lancedb.table.Table]`.
-Plain relative links such as `[Table](Table)` do not resolve. To check your work:
-
-```shell
-pip install -r docs/requirements.txt
-cd docs && PYTHONPATH=. mkdocs build
-```
-
-The docs site only builds on pushes to `main`, so this is not covered by PR CI.
-
 ## Review Guidelines

 Please consider the following when reviewing code contributions.
@@ -13,20 +13,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"

 [workspace.dependencies]
-lance = { "version" = "=10.0.0", default-features = false }
-lance-core = "=10.0.0"
-lance-datagen = "=10.0.0"
-lance-file = "=10.0.0"
-lance-io = { "version" = "=10.0.0", default-features = false }
-lance-index = "=10.0.0"
-lance-linalg = "=10.0.0"
-lance-namespace = "=10.0.0"
-lance-namespace-impls = { "version" = "=10.0.0", default-features = false }
-lance-table = "=10.0.0"
-lance-testing = "=10.0.0"
-lance-datafusion = "=10.0.0"
-lance-encoding = "=10.0.0"
-lance-arrow = "=10.0.0"
+lance = { "version" = "=10.0.0-beta.5", default-features = false, "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=10.0.0-beta.5", default-features = false, "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=10.0.0-beta.5", default-features = false, "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=10.0.0-beta.5", "tag" = "v10.0.0-beta.5", "git" = "https://github.com/lance-format/lance.git" }
 ahash = "0.8"
 # Note that this one does not include pyarrow
 arrow = { version = "58.0.0", optional = false }
@@ -52,7 +52,7 @@ env_logger = "0.11"
 half = { "version" = "2.7.1", default-features = false, features = [
    "num-traits",
 ] }
-futures = "0.3"
+futures = "0"
 log = "0.4"
 metrics = "0.24"
 metrics-util = "0.19"
@@ -6,11 +6,16 @@ HEAD_SHA=$(git rev-parse HEAD)

 readonly TAG_PREFIX="v"
 readonly SELF_DIR=$(cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )
-readonly BUMP_ARGS="--no-tag"

 PREV_TAG=$(git tag --sort='version:refname' | grep ^$TAG_PREFIX | python $SELF_DIR/semver_sort.py $TAG_PREFIX | tail -n 1)
 echo "Found previous tag $PREV_TAG"

+# Initially, we don't want to tag if we are doing stable, because we will bump
+# again later. See comment at end for why.
+if [[ "$RELEASE_TYPE" == 'stable' ]]; then
+  BUMP_ARGS="--no-tag"
+fi
+
 # If last is stable and not bumping minor
 if [[ $PREV_TAG != *beta* ]]; then
    if [[ "$BUMP_MINOR" != "false" ]]; then
@@ -34,12 +39,12 @@ fi
 # a stable version, bump the pre-release level ("pre_l") to make it stable.
 if [[ $RELEASE_TYPE == 'stable' ]]; then
  # X.Y.Z-beta.N -> X.Y.Z
-  bump-my-version bump -vv $BUMP_ARGS pre_l
+  bump-my-version bump -vv pre_l
 fi

 # Validate that we have incremented version appropriately for breaking changes
-NEW_VERSION=$(python -c 'import tomllib; print(tomllib.load(open(".bumpversion.toml", "rb"))["tool"]["bumpversion"]["current_version"])')
-NEW_TAG="$TAG_PREFIX$NEW_VERSION"
+NEW_TAG=$(git describe --tags --exact-match HEAD)
+NEW_VERSION=$(echo $NEW_TAG | sed "s/^$TAG_PREFIX//")
 LAST_STABLE_RELEASE=$(git tag --sort='version:refname' | grep ^$TAG_PREFIX | grep -v beta | grep -vF "$NEW_TAG" | python $SELF_DIR/semver_sort.py $TAG_PREFIX | tail -n 1)
 LAST_STABLE_VERSION=$(echo $LAST_STABLE_RELEASE | sed "s/^$TAG_PREFIX//")

@@ -1,21 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-RELEASE_VERSION=$(python -c 'import tomllib; print(tomllib.load(open(".bumpversion.toml", "rb"))["tool"]["bumpversion"]["current_version"])')
-RELEASE_TAG="v${RELEASE_VERSION}"
-
-if git rev-parse --quiet --verify "refs/tags/${RELEASE_TAG}" >/dev/null; then
-  echo "Release tag ${RELEASE_TAG} already exists" >&2
-  exit 1
-fi
-
-git tag --annotate "$RELEASE_TAG" --message "Release ${RELEASE_TAG}"
-
-HEAD_SHA=$(git rev-parse HEAD)
-TAG_SHA=$(git rev-parse "refs/tags/${RELEASE_TAG}^{}")
-if [[ "$TAG_SHA" != "$HEAD_SHA" ]]; then
-  echo "Release tag ${RELEASE_TAG} points to ${TAG_SHA}, expected ${HEAD_SHA}" >&2
-  exit 1
-fi
-
-echo "Created ${RELEASE_TAG} at ${HEAD_SHA}"
@@ -1,72 +0,0 @@
-import tempfile
-import unittest
-from pathlib import Path
-
-from validate_stable_lance import validate
-
-
-class ValidateStableLanceTest(unittest.TestCase):
-    def write_fixture(
-        self,
-        root: Path,
-        *,
-        rust: str = "=10.0.0",
-        python: str = "10.0.0",
-        java: str = "10.0.0",
-    ) -> None:
-        (root / "python").mkdir()
-        (root / "java").mkdir()
-        (root / "Cargo.toml").write_text(
-            f'[workspace.dependencies]\nlance = "{rust}"\nlance-core = "{rust}"\n'
-        )
-        (root / "python" / "pyproject.toml").write_text(
-            '[project.optional-dependencies]\ntests = ["pylance==' + python + '"]\n'
-        )
-        (root / "java" / "pom.xml").write_text(
-            "<project><properties><lance-core.version>"
-            + java
-            + "</lance-core.version></properties></project>"
-        )
-
-    def test_accepts_matching_stable_versions(self) -> None:
-        with tempfile.TemporaryDirectory() as temp_dir:
-            root = Path(temp_dir)
-            self.write_fixture(root)
-            self.assertEqual(validate(root), "10.0.0")
-
-    def test_rejects_prerelease(self) -> None:
-        with tempfile.TemporaryDirectory() as temp_dir:
-            root = Path(temp_dir)
-            self.write_fixture(root, python="10.0.0rc1")
-            with self.assertRaisesRegex(ValueError, "not stable"):
-                validate(root)
-
-    def test_rejects_sdk_mismatch(self) -> None:
-        with tempfile.TemporaryDirectory() as temp_dir:
-            root = Path(temp_dir)
-            self.write_fixture(root, java="9.0.0")
-            with self.assertRaisesRegex(ValueError, "do not match across SDKs"):
-                validate(root)
-
-    def test_rejects_non_exact_rust_dependency(self) -> None:
-        with tempfile.TemporaryDirectory() as temp_dir:
-            root = Path(temp_dir)
-            self.write_fixture(root, rust="10.0.0")
-            with self.assertRaisesRegex(ValueError, "not exact"):
-                validate(root)
-
-    def test_rejects_unpublished_rust_source(self) -> None:
-        with tempfile.TemporaryDirectory() as temp_dir:
-            root = Path(temp_dir)
-            self.write_fixture(root)
-            (root / "Cargo.toml").write_text(
-                "[workspace.dependencies]\n"
-                'lance = { version = "=10.0.0", git = "https://example.com/lance", '
-                'tag = "v10.0.0" }\n'
-            )
-            with self.assertRaisesRegex(ValueError, "unpublished source fields"):
-                validate(root)
-
-
-if __name__ == "__main__":
-    unittest.main()
@@ -1,112 +1,34 @@
-#!/usr/bin/env python3
-"""Validate that every SDK uses the same published stable Lance release."""
-
-from __future__ import annotations
-
-import re
-import xml.etree.ElementTree as ET
-from pathlib import Path
-
 import tomllib

-STABLE_VERSION = re.compile(r"[0-9]+\.[0-9]+\.[0-9]+")
+found_preview_lance = False

+with open("Cargo.toml", "rb") as f:
+    cargo_data = tomllib.load(f)

-def _stable_version(raw: str, *, dependency: str, exact: bool = False) -> str:
-    value = raw.strip()
-    if exact and not value.startswith("="):
-        raise ValueError(f"Dependency '{dependency}' is not exact: {raw}")
-    value = value.removeprefix("=").removeprefix("v")
-    if STABLE_VERSION.fullmatch(value) is None:
-        raise ValueError(f"Dependency '{dependency}' is not stable: {raw}")
-    return value
+    for name, dep in cargo_data["workspace"]["dependencies"].items():
+        if name == "lance" or name.startswith("lance-"):
+            if isinstance(dep, str):
+                version = dep
+            elif isinstance(dep, dict):
+                # Version doesn't have the beta tag in it, so we instead look
+                # at the git tag.
+                version = dep.get('tag', dep.get('version'))
+            else:
+                raise ValueError("Unexpected type for dependency: " + str(dep))

+            if "beta" in version:
+                found_preview_lance = True
+                print(f"Dependency '{name}' is a preview version: {version}")

-def rust_lance_version(repo_root: Path) -> str:
-    with (repo_root / "Cargo.toml").open("rb") as cargo_file:
-        dependencies = tomllib.load(cargo_file)["workspace"]["dependencies"]
+with open("python/pyproject.toml", "rb") as f:
+    py_proj_data = tomllib.load(f)

-    versions: dict[str, str] = {}
-    for name, dependency in dependencies.items():
-        if name != "lance" and not name.startswith("lance-"):
-            continue
+    for dep in py_proj_data["project"]["dependencies"]:
+        if dep.startswith("pylance"):
+            if "b" in dep:
+                found_preview_lance = True
+                print(f"Dependency '{dep}' is a preview version")
+            break  # Only one pylance dependency

-        if isinstance(dependency, str):
-            raw_version = dependency
-        elif isinstance(dependency, dict):
-            forbidden_sources = [
-                source
-                for source in ("git", "path", "branch", "rev", "tag")
-                if source in dependency
-            ]
-            if forbidden_sources:
-                joined = ", ".join(forbidden_sources)
-                raise ValueError(
-                    f"Dependency '{name}' uses unpublished source fields: {joined}"
-                )
-            raw_version = dependency.get("version")
-            if raw_version is None:
-                raise ValueError(f"Dependency '{name}' has no version")
-        else:
-            raise TypeError(f"Dependency '{name}' has an unexpected definition")
-
-        versions[name] = _stable_version(raw_version, dependency=name, exact=True)
-
-    if not versions:
-        raise ValueError("No Rust Lance dependencies found")
-    unique_versions = set(versions.values())
-    if len(unique_versions) != 1:
-        details = ", ".join(f"{name}={version}" for name, version in versions.items())
-        raise ValueError(f"Rust Lance dependency versions do not match: {details}")
-    return unique_versions.pop()
-
-
-def python_lance_version(repo_root: Path) -> str:
-    with (repo_root / "python" / "pyproject.toml").open("rb") as pyproject_file:
-        pyproject = tomllib.load(pyproject_file)
-
-    requirements = pyproject["project"]["optional-dependencies"]["tests"]
-    pylance_requirements = [
-        requirement for requirement in requirements if requirement.startswith("pylance")
-    ]
-    if len(pylance_requirements) != 1:
-        raise ValueError(
-            "Expected exactly one pylance requirement in the Python test dependencies"
-        )
-
-    requirement = pylance_requirements[0]
-    prefix = "pylance=="
-    if not requirement.startswith(prefix):
-        raise ValueError(f"Python test dependency is not exact: {requirement}")
-    return _stable_version(requirement[len(prefix) :], dependency="pylance")
-
-
-def java_lance_version(repo_root: Path) -> str:
-    pom_root = ET.parse(repo_root / "java" / "pom.xml").getroot()
-    versions = [
-        element.text
-        for element in pom_root.iter()
-        if element.tag.rsplit("}", 1)[-1] == "lance-core.version"
-    ]
-    if len(versions) != 1 or versions[0] is None:
-        raise ValueError("Expected exactly one Java lance-core.version property")
-    return _stable_version(versions[0], dependency="Java lance-core")
-
-
-def validate(repo_root: Path) -> str:
-    versions = {
-        "Rust": rust_lance_version(repo_root),
-        "Python": python_lance_version(repo_root),
-        "Java": java_lance_version(repo_root),
-    }
-    if len(set(versions.values())) != 1:
-        details = ", ".join(f"{sdk}={version}" for sdk, version in versions.items())
-        raise ValueError(
-            f"Lance dependency versions do not match across SDKs: {details}"
-        )
-    return versions["Rust"]
-
-
-if __name__ == "__main__":
-    version = validate(Path(__file__).resolve().parents[1])
-    print(f"Validated published stable Lance v{version} across Rust, Python, and Java")
+if found_preview_lance:
+    raise ValueError("Found preview version of Lance in dependencies")
@@ -51,11 +51,6 @@ plugins:
          paths: [../python/python]
          options:
            docstring_style: numpy
-            docstring_options:
-              # Attributes documented in a `Parameters` section, and pydantic
-              # dataclasses whose `__init__` griffe cannot see statically, both
-              # trip this check. It reports nothing actionable here.
-              warn_unknown_params: false
            heading_level: 3
            show_signature_annotations: true
            show_root_heading: true
@@ -453,16 +453,6 @@ paths:
                    The metric type to use for the index. l2, Cosine, Dot are supported.
                index_type:
                  type: string
-                custom_stop_words:
-                  type: [array, "null"]
-                  items:
-                    type: string
-                  description: |
-                    The custom stop-word list for an FTS index. A non-null
-                    array replaces the language's built-in stop-word list and is only
-                    applied when remove_stop_words is enabled. Null uses the built-in
-                    language list, while an empty array explicitly replaces it with no
-                    stop words.
      responses:
        "200":
          description: Index successfully created
@@ -520,4 +510,4 @@ paths:
        "401":
          $ref: "#/components/responses/unauthorized"
        "404":
-          $ref: "#/components/responses/not_found"
+          $ref: "#/components/responses/not_found"
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-core</artifactId>
-    <version>0.37.1</version>
+    <version>0.37.1-beta.0</version>
 </dependency>
 ```

@@ -1,7 +1,7 @@
 # Contributing to LanceDB Typescript

 This document outlines the process for contributing to LanceDB Typescript.
-For general contribution guidelines, see [CONTRIBUTING.md](https://github.com/lancedb/lancedb/blob/main/CONTRIBUTING.md).
+For general contribution guidelines, see [CONTRIBUTING.md](../CONTRIBUTING.md).

 ## Project layout

@@ -25,27 +25,6 @@ the underlying connection has been closed.

 ## Methods

-### cancelJob()
-
-```ts
-abstract cancelJob(jobId): Promise<boolean>
-```
-
-Request cancellation of a server-side job by id.
-
-Resolves to true if the server accepted the cancellation, false if no
-such job exists. Cancelling an already-terminal job is a no-op success.
-
-#### Parameters
-
-* **jobId**: `string`
-
-#### Returns
-
-`Promise`&lt;`boolean`&gt;
-
-***
-
 ### cloneTable()

 ```ts
@@ -386,26 +365,6 @@ Drop an existing table.

 ***

-### getJob()
-
-```ts
-abstract getJob(jobId): Promise<null | JobDescription>
-```
-
-Describe a single server-side job by id.
-
-Resolves to `null` when the server has no such job.
-
-#### Parameters
-
-* **jobId**: `string`
-
-#### Returns
-
-`Promise`&lt;`null` \| [`JobDescription`](../interfaces/JobDescription.md)&gt;
-
-***
-
 ### isOpen()

 ```ts
@@ -420,62 +379,6 @@ Return true if the connection has not been closed

 ***

-### job()
-
-```ts
-abstract job(jobId): Job
-```
-
-A [Job](Job.md) handle for a server-side job by id.
-
-The handle is constructed without a server round trip; an unknown id
-surfaces when the handle is used. Dropping the handle has no effect on
-the job itself.
-
-#### Parameters
-
-* **jobId**: `string`
-
-#### Returns
-
-[`Job`](Job.md)
-
-***
-
-### jobHistory()
-
-```ts
-abstract jobHistory(jobId?): Promise<Table<any>>
-```
-
-The lifecycle event history of a server-side job, as an Arrow table.
-
-Lists history across all jobs when `jobId` is omitted.
-
-#### Parameters
-
-* **jobId?**: `string`
-
-#### Returns
-
-`Promise`&lt;`Table`&lt;`any`&gt;&gt;
-
-***
-
-### listJobs()
-
-```ts
-abstract listJobs(): Promise<JobInfo[]>
-```
-
-List server-side jobs across the database's tables.
-
-#### Returns
-
-`Promise`&lt;[`JobInfo`](../interfaces/JobInfo.md)[]&gt;
-
-***
-
 ### listNamespaces()

 ```ts
@@ -1,83 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / Job
-
-# Class: Job
-
-A handle to an operation that may still be running.
-
-## Constructors
-
-### new Job()
-
-```ts
-new Job(): Job
-```
-
-#### Returns
-
-[`Job`](Job.md)
-
-## Accessors
-
-### id
-
-```ts
-get id(): null | string
-```
-
-Identifies the operation on the server that is running it. Operations
-that run in this process have no server id. The value is opaque.
-
-#### Returns
-
-`null` \| `string`
-
-## Methods
-
-### cancel()
-
-```ts
-cancel(): Promise<void>
-```
-
-Request cancellation. Cancelling a finished operation is a no-op.
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
-
-***
-
-### status()
-
-```ts
-status(): Promise<string>
-```
-
-The operation's current lifecycle state: "running", "finished",
-"failed", or "cancelled".
-
-A point snapshot; unlike [Job.wait](Job.md#wait) it does not block or reject
-on a terminal failure state. States a newer server reports that this
-client version does not know pass through as-is.
-
-#### Returns
-
-`Promise`&lt;`string`&gt;
-
-***
-
-### wait()
-
-```ts
-wait(): Promise<void>
-```
-
-Wait until the operation reaches a terminal state.
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
@@ -295,29 +295,6 @@ await table.createIndex("my_float_col");

 ***

-### createIndexAsync()
-
-```ts
-abstract createIndexAsync(column, options?): Promise<Job>
-```
-
-Create an index, returning a handle to the indexing job.
-
-The job may already be complete when returned; callers must not assume
-the index exists until [Job.wait](Job.md#wait) resolves.
-
-#### Parameters
-
-* **column**: `string`
-
-* **options?**: `Partial`&lt;[`IndexOptions`](../interfaces/IndexOptions.md)&gt;
-
-#### Returns
-
-`Promise`&lt;[`Job`](Job.md)&gt;
-
-***
-
 ### currentBranch()

 ```ts
@@ -25,7 +25,6 @@
 - [Connection](classes/Connection.md)
 - [HeaderProvider](classes/HeaderProvider.md)
 - [Index](classes/Index.md)
- [Job](classes/Job.md)
 - [MakeArrowTableOptions](classes/MakeArrowTableOptions.md)
 - [MatchQuery](classes/MatchQuery.md)
 - [MergeInsertBuilder](classes/MergeInsertBuilder.md)
@@ -89,9 +88,6 @@
 - [IvfFlatOptions](interfaces/IvfFlatOptions.md)
 - [IvfPqOptions](interfaces/IvfPqOptions.md)
 - [IvfRqOptions](interfaces/IvfRqOptions.md)
- [JobDescription](interfaces/JobDescription.md)
- [JobFailureInfo](interfaces/JobFailureInfo.md)
- [JobInfo](interfaces/JobInfo.md)
 - [ListNamespacesOptions](interfaces/ListNamespacesOptions.md)
 - [ListNamespacesResponse](interfaces/ListNamespacesResponse.md)
 - [LsmWriteSpec](interfaces/LsmWriteSpec.md)
@@ -56,21 +56,6 @@ the experimental FTS V3 format and may introduce breaking changes.

 ***

-### customStopWords?
-
-```ts
-optional customStopWords: string[];
-```
-
-Custom stop words that replace the built-in list for `language`.
-
-This option only affects tokenization when `removeStopWords` is true.
-
-`undefined` keeps the built-in language list. An empty array explicitly
-replaces it with no stop words.
-
-***
-
 ### language?

 ```ts
@@ -1,66 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / JobDescription
-
-# Interface: JobDescription
-
-A described job from `Connection.getJob`.
-
-## Properties
-
-### creationMs
-
-```ts
-creationMs: number;
-```
-
-When the job was created, in milliseconds since the epoch.
-
-***
-
-### failure?
-
-```ts
-optional failure: JobFailureInfo;
-```
-
-Why the job failed, when the job is failed and the server reports a
-reason.
-
-***
-
-### jobId
-
-```ts
-jobId: string;
-```
-
-***
-
-### jobType
-
-```ts
-jobType: string;
-```
-
-***
-
-### specJson?
-
-```ts
-optional specJson: string;
-```
-
-The job-type-specific specification as a JSON string, when present.
-
-***
-
-### state
-
-```ts
-state: string;
-```
-
-Lifecycle state: "running", "finished", "failed", or "cancelled".
@@ -1,33 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / JobFailureInfo
-
-# Interface: JobFailureInfo
-
-The server's account of why a job failed.
-
-## Properties
-
-### message?
-
-```ts
-optional message: string;
-```
-
-***
-
-### phase?
-
-```ts
-optional phase: string;
-```
-
-***
-
-### retryable?
-
-```ts
-optional retryable: boolean;
-```
@@ -1,58 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / JobInfo
-
-# Interface: JobInfo
-
-A row from `Connection.listJobs`: one server-side job.
-
-## Properties
-
-### createdAtMillis
-
-```ts
-createdAtMillis: number;
-```
-
-When the job was created, in milliseconds since the epoch.
-
-***
-
-### jobId
-
-```ts
-jobId: string;
-```
-
-The job id -- what `Connection.getJob` and `Connection.cancelJob`
-accept.
-
-***
-
-### jobType
-
-```ts
-jobType: string;
-```
-
-***
-
-### state
-
-```ts
-state: string;
-```
-
-Lifecycle state: "running", "finished", "failed", or "cancelled".
-
-***
-
-### table
-
-```ts
-table: string;
-```
-
-The table the job runs against, without URI or namespace.
@@ -44,7 +44,4 @@ The number of rows in the table
 totalBytes: number;
 ```

-The total size, in bytes, of the table's data files, index files, and
-overlay files
-
-Read from the manifest, so this excludes deletion files and manifests.
+The total number of bytes in the table
@@ -30,21 +30,6 @@ The tokenizer to use. The default is "simple".

 ***

-### customStopWords?
-
-```ts
-optional customStopWords: string[];
-```
-
-Custom stop words that replace the built-in list for `language`.
-
-This option only affects tokenization when `removeStopWords` is true.
-
-`undefined` keeps the built-in language list. An empty array explicitly
-replaces it with no stop words.
-
-***
-
 ### language?

 ```ts
@@ -26,18 +26,6 @@ is also an [asynchronous API client](#connections-asynchronous).

 ::: lancedb.db.DBConnection

-::: lancedb.Session
-
-## Namespaces (Synchronous)
-
-A namespace-backed connection resolves tables through a
-[Lance namespace](https://lance-format.github.io/lance-namespace/) service instead of
-listing a storage directory.
-
-::: lancedb.connect_namespace
-
-::: lancedb.namespace.LanceNamespaceDBConnection
-
 ## Tables (Synchronous)

 ::: lancedb.table.Table
@@ -46,12 +34,8 @@ listing a storage directory.

 ::: lancedb.table.FragmentSummaryStats

-::: lancedb.table.TableStatistics
-
 ::: lancedb.table.Tags

-::: lancedb.table.Branches
-
 ## Expressions

 Type-safe expression builder for filters and projections. Use these instead
@@ -78,46 +62,29 @@ of raw SQL strings with [where][lancedb.query.LanceQueryBuilder.where] and

 ::: lancedb.query.LanceHybridQueryBuilder

-::: lancedb.query.LanceEmptyQueryBuilder
-
-::: lancedb.query.LanceTakeQueryBuilder
-
-## Full text queries
-
-Structured full text queries can be passed to
-[Table.search][lancedb.table.Table.search] or
-[AsyncTable.search][lancedb.table.AsyncTable.search] in place of a query string,
-and combined with [BooleanQuery][lancedb.query.BooleanQuery].
-
-::: lancedb.query.FullTextQuery
-
-::: lancedb.query.MatchQuery
-
-::: lancedb.query.PhraseQuery
-
-::: lancedb.query.BoostQuery
-
-::: lancedb.query.MultiMatchQuery
-
-::: lancedb.query.BooleanQuery
-
-::: lancedb.query.FullTextOperator
-
-::: lancedb.query.Occur
-
 ## Embeddings

-::: lancedb.embeddings
-    options:
-      show_root_heading: false
-      show_root_toc_entry: false
+::: lancedb.embeddings.registry.EmbeddingFunctionRegistry
+
+::: lancedb.embeddings.base.EmbeddingFunctionConfig
+
+::: lancedb.embeddings.base.EmbeddingFunction
+
+::: lancedb.embeddings.base.TextEmbeddingFunction
+
+::: lancedb.embeddings.sentence_transformers.SentenceTransformerEmbeddings
+
+::: lancedb.embeddings.openai.OpenAIEmbeddings
+
+::: lancedb.embeddings.open_clip.OpenClipEmbeddings

 ## Remote configuration

-::: lancedb.remote
-    options:
-      show_root_heading: false
-      show_root_toc_entry: false
+::: lancedb.remote.ClientConfig
+
+::: lancedb.remote.TimeoutConfig
+
+::: lancedb.remote.RetryConfig

 ## Context

@@ -127,50 +94,11 @@ and combined with [BooleanQuery][lancedb.query.BooleanQuery].

 ## Full text search

-Pass `custom_stop_words` to [lancedb.index.FTS][]:
+Use [lancedb.table.Table.create_fts_index][] for the synchronous API or
+[lancedb.table.AsyncTable.create_index][] with [lancedb.index.FTS][] for the
+asynchronous API.

-```python
-from lancedb.index import FTS
-
-table.create_index(
-    "text",
-    config=FTS(remove_stop_words=True, custom_stop_words=["acme", "internal"]),
-)
-```
-
-The list replaces the built-in stop words and is used only when
-`remove_stop_words=True`:
-
- `custom_stop_words=None` uses the built-in list for `language`.
- `custom_stop_words=[]` removes no words.
- Values are passed through without trimming, lowercasing, or other rewriting.
-
-The same option is available on `lancedb.tokenize(...)` and the deprecated
-[lancedb.table.Table.create_fts_index][] compatibility helper:
-
-```python
-import lancedb
-
-tokens = list(lancedb.tokenize("acme makes searchable data",
-                               custom_stop_words=["acme"]))
-```
-
-::: lancedb.tokenize
-
-::: lancedb.FtsToken
-
-## Blobs
-
-Blob columns store large binary values out of line so they can be read lazily
-instead of being materialized with the rest of the row.
-
-::: lancedb.blob
-
-::: lancedb.BlobType
-
-::: lancedb._blob.BlobFile
-    options:
-      show_root_full_path: false
+::: lancedb.index.FTS

 ## Utilities

@@ -178,14 +106,6 @@ instead of being materialized with the rest of the row.

 ::: lancedb.merge.LanceMergeInsertBuilder

-::: lancedb.otel.instrument_lancedb_metrics
-
-## Exceptions
-
-::: lancedb.exceptions.MissingValueError
-
-::: lancedb.exceptions.MissingColumnError
-
 ## Integrations

 ## Pydantic
@@ -194,30 +114,19 @@ instead of being materialized with the rest of the row.

 ::: lancedb.pydantic.vector

-::: lancedb.pydantic.Vector
-
-::: lancedb.pydantic.MultiVector
-
 ::: lancedb.pydantic.LanceModel

-## PyTorch
-
-::: lancedb.streaming.StreamingDataset
-
-::: lancedb.permutation.permutation_builder
-
-::: lancedb.permutation.PermutationBuilder
-
-::: lancedb.permutation.Permutation
-
-::: lancedb.permutation.Transforms
-
 ## Reranking

-::: lancedb.rerankers
-    options:
-      show_root_heading: false
-      show_root_toc_entry: false
+::: lancedb.rerankers.linear_combination.LinearCombinationReranker
+
+::: lancedb.rerankers.cohere.CohereReranker
+
+::: lancedb.rerankers.colbert.ColbertReranker
+
+::: lancedb.rerankers.cross_encoder.CrossEncoderReranker
+
+::: lancedb.rerankers.openai.OpenaiReranker

 ## Connections (Asynchronous)

@@ -228,12 +137,6 @@ can be used to create, list, or open tables.

 ::: lancedb.db.AsyncConnection

-## Namespaces (Asynchronous)
-
-::: lancedb.connect_namespace_async
-
-::: lancedb.namespace.AsyncLanceNamespaceDBConnection
-
 ## Tables (Asynchronous)

 Table hold your actual data as a collection of records / rows.
@@ -242,20 +145,32 @@ Table hold your actual data as a collection of records / rows.

 ::: lancedb.table.AsyncTags

-::: lancedb.table.AsyncBranches
-
 ## Indices (Asynchronous)

 Indices can be created on a table to speed up queries. This section
 lists the indices that LanceDb supports.

-::: lancedb.index
-    options:
-      show_root_heading: false
-      show_root_toc_entry: false
-      # `lang_mapping` is defined in the module rather than imported, so it is
-      # picked up despite not being in `__all__`. It is an internal lookup table.
-      filters: ["!^_", "!^lang_mapping$"]
+::: lancedb.index.BTree
+
+::: lancedb.index.Bitmap
+
+::: lancedb.index.LabelList
+
+::: lancedb.index.FTS
+
+::: lancedb.index.IvfPq
+
+::: lancedb.index.HnswPq
+
+::: lancedb.index.HnswSq
+
+::: lancedb.index.IvfFlat
+
+::: lancedb.index.IvfSq
+
+::: lancedb.index.IvfRq
+
+::: lancedb.index.HnswFlat

 ::: lancedb.table.IndexStatistics

@@ -283,7 +198,3 @@ rows nearest to a query vector and can be created with the
 ::: lancedb.query.AsyncHybridQuery
    options:
      inherited_members: true
-
-::: lancedb.query.AsyncTakeQuery
-    options:
-      inherited_members: true
@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.37.1-final.0</version>
+      <version>0.37.1-beta.0</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.37.1-final.0</version>
+    <version>0.37.1-beta.0</version>
    <packaging>pom</packaging>
    <name>${project.artifactId}</name>
    <description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <arrow.version>15.0.0</arrow.version>
-        <lance-core.version>10.0.0</lance-core.version>
+        <lance-core.version>10.0.0-beta.5</lance-core.version>
        <spotless.skip>false</spotless.skip>
        <spotless.version>2.30.0</spotless.version>
        <spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
@@ -1,7 +1,7 @@
 # Contributing to LanceDB Typescript

 This document outlines the process for contributing to LanceDB Typescript.
-For general contribution guidelines, see [CONTRIBUTING.md](https://github.com/lancedb/lancedb/blob/main/CONTRIBUTING.md).
+For general contribution guidelines, see [CONTRIBUTING.md](../CONTRIBUTING.md).

 ## Project layout

@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.37.1"
+version = "0.37.1-beta.0"
 publish = false
 license.workspace = true
 description.workspace = true
@@ -6,9 +6,7 @@ import * as arrow17 from "apache-arrow-17";
 import * as arrow18 from "apache-arrow-18";

 import {
-  Vector as CurrentVector,
  convertToTable,
-  tableFromIPC as currentTableFromIPC,
  fromBufferToRecordBatch,
  fromDataToBuffer,
  fromRecordBatchToBuffer,
@@ -21,7 +19,6 @@ import {
  FunctionOptions,
 } from "../lancedb/embedding/embedding_function";
 import { EmbeddingFunctionConfig } from "../lancedb/embedding/registry";
-import { sanitizeTable } from "../lancedb/sanitize";

 // biome-ignore lint/suspicious/noExplicitAny: skip
 function sampleRecords(): Array<Record<string, any>> {
@@ -67,11 +64,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      tableFromIPC,
      DataType,
      Dictionary,
-      RecordBatch: ArrowRecordBatch,
-      Table: ArrowTable,
      Uint8: ArrowUint8,
-      makeData: arrowMakeData,
-      vectorFromArray,
      // biome-ignore lint/suspicious/noExplicitAny: <explanation>
    } = <any>arrow;
    type Schema = ApacheArrow["Schema"];
@@ -204,35 +197,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
        expect(table.getChild("d")?.toJSON()).toEqual([9n, 10n, null]);
      });

-      it("will use a provided FixedSizeList schema with typed array values", function () {
-        const schema = new Schema([
-          new Field("text", new Utf8(), false),
-          new Field(
-            "vector",
-            new FixedSizeList(3, new Field("item", new Float32(), false)),
-            false,
-          ),
-        ]);
-
-        const table = makeArrowTable(
-          [
-            {
-              text: "foo",
-              vector: new Float32Array([1, 2, 3]),
-            },
-          ],
-          { schema },
-        );
-
-        expect(table.getChild("text")?.toJSON()).toEqual(["foo"]);
-        expect(
-          table
-            .getChild("vector")
-            ?.toJSON()
-            .map((value) => value.toJSON()),
-        ).toEqual([[1, 2, 3]]);
-      });
-
      it("will assume the column `vector` is FixedSizeList<Float32> by default", async function () {
        const schema = new Schema([
          new Field("a", new Float(Precision.DOUBLE), true),
@@ -1061,114 +1025,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
    });

    describe("when using two versions of arrow", function () {
-      it("preserves a dictionary shared by multiple fields", async function () {
-        const values = ["alpha", "beta", "alpha"];
-        const dictionaryVector = vectorFromArray(values);
-        const batch = new ArrowRecordBatch({
-          first: dictionaryVector.data[0],
-          second: dictionaryVector.data[0],
-        });
-        const table = new ArrowTable([batch]);
-
-        const sanitized = sanitizeTable(table);
-        expect([...sanitized.getChild("first")!]).toEqual(values);
-        expect([...sanitized.getChild("second")!]).toEqual(values);
-        const firstType = sanitized.schema.fields[0].type as {
-          dictionary: unknown;
-        };
-        const secondType = sanitized.schema.fields[1].type as {
-          dictionary: unknown;
-        };
-        expect(secondType.dictionary).toBe(firstType.dictionary);
-        expect(sanitized.batches[0].data.children[1].dictionary).toBe(
-          sanitized.batches[0].data.children[0].dictionary,
-        );
-
-        const buf = await fromDataToBuffer(table);
-        const actual = currentTableFromIPC(buf);
-        expect([...actual.getChild("first")!]).toEqual(values);
-        expect([...actual.getChild("second")!]).toEqual(values);
-      });
-
-      it("preserves shared dictionary data from another Arrow version", async function () {
-        const values = ["alpha", "beta", "alpha"];
-        const dictionaryVector = vectorFromArray(values);
-        const firstBatch = new ArrowRecordBatch({
-          label: dictionaryVector.slice(0, 2).data[0],
-        });
-        const secondBatch = new ArrowRecordBatch({
-          label: dictionaryVector.slice(2).data[0],
-        });
-        const table = new ArrowTable([firstBatch, secondBatch]);
-
-        const sanitized = sanitizeTable(table);
-        expect([...sanitized.getChild("label")!]).toEqual(values);
-
-        const dictionaries = sanitized.batches.map(
-          (batch) => batch.data.children[0].dictionary,
-        );
-        expect(dictionaries[0]).toBeInstanceOf(CurrentVector);
-        expect(dictionaries[1]).toBe(dictionaries[0]);
-
-        const buf = await fromDataToBuffer(table);
-        const actual = currentTableFromIPC(buf);
-        expect([...actual.getChild("label")!]).toEqual(values);
-      });
-
-      it("preserves shared chunks in growing dictionaries", async function () {
-        const type = new Dictionary(new Utf8(), new Int32(), 42, false);
-        const firstDictionary = vectorFromArray(["alpha", "beta"], new Utf8());
-        const secondDictionary = firstDictionary.concat(
-          vectorFromArray(["gamma"], new Utf8()),
-        );
-        const firstData = arrowMakeData({
-          type,
-          data: Int32Array.from([0, 1]),
-          dictionary: firstDictionary,
-        });
-        const secondData = arrowMakeData({
-          type,
-          data: Int32Array.from([2]),
-          dictionary: secondDictionary,
-        });
-        const table = new ArrowTable([
-          new ArrowRecordBatch({ label: firstData }),
-          new ArrowRecordBatch({ label: secondData }),
-        ]);
-
-        const sanitized = sanitizeTable(table);
-        const expected = ["alpha", "beta", "gamma"];
-        expect([...sanitized.getChild("label")!]).toEqual(expected);
-        const firstLocalDictionary =
-          sanitized.batches[0].data.children[0].dictionary!;
-        const secondLocalDictionary =
-          sanitized.batches[1].data.children[0].dictionary!;
-        expect(secondLocalDictionary.data[0]).toBe(
-          firstLocalDictionary.data[0],
-        );
-
-        const buf = await fromTableToBuffer(sanitized);
-        const actual = currentTableFromIPC(buf);
-        expect([...actual.getChild("label")!]).toEqual(expected);
-      });
-
-      it("can serialize list data from another Arrow version", async function () {
-        const values = [["anime", "action"], [], null];
-        const vector = vectorFromArray(
-          values,
-          new List(new Field("item", new Utf8(), true)),
-        );
-        const table = new ArrowTable({ tags: vector });
-
-        const buf = await fromDataToBuffer(table);
-        const actual = currentTableFromIPC(buf);
-        const actualTags = actual.getChild("tags");
-
-        expect(actualTags?.get(0)?.toJSON()).toEqual(values[0]);
-        expect(actualTags?.get(1)?.toJSON()).toEqual(values[1]);
-        expect(actualTags?.get(2)).toBeNull();
-      });
-
      it("can still import data", async function () {
        const schema = new arrow15.Schema([
          new arrow15.Field("id", new arrow15.Int32()),
@@ -11,11 +11,8 @@ import {
  Float16,
  Float32,
  Float64,
-  Int32,
  Schema,
  Utf8,
-  fromDataToBuffer,
-  tableFromIPC,
 } from "../lancedb/arrow";
 import { EmbeddingFunction, LanceSchema } from "../lancedb/embedding";
 import { getRegistry, register } from "../lancedb/embedding/registry";
@@ -187,63 +184,6 @@ describe("embedding functions", () => {
    const vector0 = JSON.parse(JSON.stringify(arr[0].vector));
    expect(vector0).toEqual([1, 2, 3]);
  });
-
-  it("should append generated vectors to a non-nullable schema", async () => {
-    @register("non_nullable_schema_test")
-    class MockEmbeddingFunction extends EmbeddingFunction<string> {
-      ndims() {
-        return 3;
-      }
-      embeddingDataType(): Float {
-        return new Float64();
-      }
-      async computeSourceEmbeddings(data: string[]) {
-        return data.map(() => [1, 2, 3]);
-      }
-    }
-
-    const schema = new Schema([
-      new Field("id", new Int32()),
-      new Field("text", new Utf8()),
-      new Field("type", new Utf8()),
-      new Field(
-        "vector",
-        new FixedSizeList(3, new Field("item", new Float64())),
-      ),
-    ]);
-    const func = new MockEmbeddingFunction();
-    const db = await connect(tmpDir.name);
-    const table = await db.createEmptyTable("test_non_nullable", schema, {
-      embeddingFunction: {
-        function: func,
-        sourceColumn: "text",
-      },
-    });
-
-    const data = [
-      { id: 1, text: "Carrot", type: "vegetable" },
-      { id: 2, text: "Apple", type: "fruit" },
-    ];
-    const buffer = await fromDataToBuffer(
-      data,
-      undefined,
-      await table.schema(),
-    );
-    const generatedTable = tableFromIPC(buffer);
-    const vectorField = generatedTable.schema.fields.find(
-      (field) => field.name === "vector",
-    );
-    expect(vectorField?.nullable).toBe(false);
-
-    await table.add(data);
-
-    const rows = await table.query().toArray();
-    expect(rows).toHaveLength(2);
-    for (const row of rows) {
-      expect([...row.vector]).toEqual([1, 2, 3]);
-    }
-  });
-
  it("should error when appending to a table with an unregistered embedding function", async () => {
    @register("mock")
    class MockEmbeddingFunction extends EmbeddingFunction<string> {
@@ -1,14 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import packageJson = require("../package.json");
-
-describe("package metadata", () => {
-  it("requires Node.js type declarations compatible with the runtime", () => {
-    expect(packageJson.engines.node).toBe(">= 18");
-    expect(packageJson.peerDependencies["@types/node"]).toBe(">=18");
-    expect(packageJson.peerDependenciesMeta["@types/node"]).toEqual({
-      optional: true,
-    });
-  });
-});
@@ -110,81 +110,6 @@ describe("Query outputSchema", () => {
  });
 });

-describe("Search pagination", () => {
-  let tmpDir: tmp.DirResult;
-  let table: Table;
-
-  beforeEach(async () => {
-    tmpDir = tmp.dirSync({ unsafeCleanup: true });
-    const db = await connect(tmpDir.name);
-    const schema = new Schema([
-      new Field("id", new Int64(), false),
-      new Field("text", new Utf8(), false),
-      new Field(
-        "vector",
-        new FixedSizeList(2, new Field("item", new Float32())),
-        false,
-      ),
-    ]);
-    const data = makeArrowTable(
-      [
-        { id: 1n, text: "common", vector: [0, 0] },
-        { id: 2n, text: "common common", vector: [1, 1] },
-        { id: 3n, text: "common common common", vector: [2, 2] },
-        { id: 4n, text: "common common common common", vector: [3, 3] },
-      ],
-      { schema },
-    );
-    table = await db.createTable("test", data);
-  });
-
-  afterEach(() => {
-    tmpDir.removeCallback();
-  });
-
-  it("applies offset after the vector search limit", async () => {
-    const allResults = await table
-      .vectorSearch([0, 0])
-      .select(["id"])
-      .limit(4)
-      .toArray();
-    const secondPage = await table
-      .vectorSearch([0, 0])
-      .select(["id"])
-      .limit(2)
-      .offset(2)
-      .toArray();
-
-    expect(allResults).toHaveLength(4);
-    expect(secondPage).toHaveLength(2);
-    expect(secondPage.map((row) => row.id)).toEqual(
-      allResults.slice(2, 4).map((row) => row.id),
-    );
-  });
-
-  it("applies offset after the full-text search limit", async () => {
-    await table.createIndex("text", { config: Index.fts() });
-
-    const allResults = await table
-      .search("common", "fts")
-      .select(["id"])
-      .limit(4)
-      .toArray();
-    const secondPage = await table
-      .search("common", "fts")
-      .select(["id"])
-      .limit(2)
-      .offset(2)
-      .toArray();
-
-    expect(allResults).toHaveLength(4);
-    expect(secondPage).toHaveLength(2);
-    expect(secondPage.map((row) => row.id)).toEqual(
-      allResults.slice(2, 4).map((row) => row.id),
-    );
-  });
-});
-
 describe("Query orderBy", () => {
  let tmpDir: tmp.DirResult;
  let table: Table;
@@ -170,38 +170,6 @@ describe("remote connection", () => {
    );
  });

-  it("surfaces JSON server errors from remote table operations", async () => {
-    await withMockDatabase(
-      (req, res) => {
-        const path = req.url ?? "";
-        if (path.endsWith("/describe/")) {
-          res.writeHead(200, { "Content-Type": "application/json" }).end(
-            JSON.stringify({
-              name: "broken_table",
-              version: 1,
-              schema: { fields: [] },
-            }),
-          );
-          return;
-        }
-
-        if (path.endsWith("/count_rows/")) {
-          res
-            .writeHead(400, { "Content-Type": "application/json" })
-            .end(JSON.stringify({ error: "count rows failed" }));
-          return;
-        }
-
-        res.writeHead(404).end();
-      },
-      async (db) => {
-        const table = await db.openTable("broken_table");
-
-        await expect(table.countRows()).rejects.toThrow("count rows failed");
-      },
-    );
-  });
-
  it("should pass on requested extra headers", async () => {
    await withMockDatabase(
      (req, res) => {
@@ -258,7 +226,7 @@ describe("remote connection", () => {
    );
  });

-  it("sends FTS options to remote tables", async () => {
+  it("sends the FTS posting block size to remote tables", async () => {
    let createIndexBody: Record<string, unknown> | undefined;

    await withMockDatabase(
@@ -296,11 +264,7 @@ describe("remote connection", () => {
      async (db) => {
        const table = await db.openTable("t");
        await table.createIndex("text", {
-          config: Index.fts({
-            blockSize: 256,
-            removeStopWords: true,
-            customStopWords: ["the"],
-          }),
+          config: Index.fts({ blockSize: 256 }),
        });
      },
    );
@@ -308,7 +272,6 @@ describe("remote connection", () => {
    expect(createIndexBody?.["column"]).toBe("text");
    expect(createIndexBody?.["index_type"]).toBe("FTS");
    expect(createIndexBody?.["block_size"]).toBe(256);
-    expect(createIndexBody?.["custom_stop_words"]).toEqual(["the"]);
  });

  it("diffs and merges remote branches", async () => {
@@ -909,96 +872,3 @@ describe("remote connection", () => {
    });
  });
 });
-
-describe("remote connection jobs surface", () => {
-  it("lists, describes, cancels, and reads history", async () => {
-    const { tableFromArrays, tableToIPC } = await import("apache-arrow");
-    const eventsTable = tableFromArrays({ state: ["created", "succeeded"] });
-    const eventsBody = Buffer.from(tableToIPC(eventsTable, "stream"));
-
-    await withMockDatabase(
-      (req, res) => {
-        let body = "";
-        req.on("data", (chunk) => {
-          body += chunk;
-        });
-        req.on("end", () => {
-          const payload = body.length > 0 ? JSON.parse(body) : {};
-          if (req.url === "/v1/jobs/list") {
-            if (payload["page_token"] === undefined) {
-              res
-                .writeHead(200, { "Content-Type": "application/json" })
-                .end(
-                  '{"jobs": [{"job_id": "job-1", "table": "t1", ' +
-                    '"job_type": "create_index", "state": "in_progress", ' +
-                    '"created_at_millis": 1000}], "page_token": "next"}',
-                );
-            } else {
-              res
-                .writeHead(200, { "Content-Type": "application/json" })
-                .end(
-                  '{"jobs": [{"job_id": "job-2", "table": "t2", ' +
-                    '"job_type": "create_index", "state": "succeeded", ' +
-                    '"created_at_millis": 2000}]}',
-                );
-            }
-          } else if (req.url === "/v1/jobs/describe") {
-            if (payload["job_id"] !== "job-1") {
-              res.writeHead(404).end("no such job");
-              return;
-            }
-            res
-              .writeHead(200, { "Content-Type": "application/json" })
-              .end(
-                '{"job_id": "job-1", "job_type": "create_index", ' +
-                  '"job_state": "FAILED", "creation_ms": 1000, ' +
-                  '"spec": {"column": "vec"}, "failure": {"phase": "execute", ' +
-                  '"message": "worker died", "retryable": true}}',
-              );
-          } else if (req.url === "/v1/jobs/cancel") {
-            if (payload["job_id"] !== "job-1") {
-              res.writeHead(404).end("no such job");
-              return;
-            }
-            res
-              .writeHead(200, { "Content-Type": "application/json" })
-              .end('{"job_id": "job-1"}');
-          } else if (req.url === "/v1/jobs/query_events") {
-            res
-              .writeHead(200, {
-                "Content-Type": "application/vnd.apache.arrow.stream",
-              })
-              .end(eventsBody);
-          } else {
-            res.writeHead(404).end();
-          }
-        });
-      },
-      async (db) => {
-        const jobs = await db.listJobs();
-        expect(jobs.map((job) => job.jobId)).toEqual(["job-1", "job-2"]);
-        expect(jobs[0].state).toEqual("running");
-        expect(jobs[1].state).toEqual("finished");
-
-        const description = await db.getJob("job-1");
-        expect(description?.state).toEqual("failed");
-        expect(JSON.parse(description?.specJson ?? "")).toEqual({
-          column: "vec",
-        });
-        expect(description?.failure?.message).toEqual("worker died");
-        expect(await db.getJob("missing")).toBeNull();
-
-        expect(await db.cancelJob("job-1")).toBe(true);
-        expect(await db.cancelJob("missing")).toBe(false);
-
-        const history = await db.jobHistory("job-1");
-        expect(history.numRows).toEqual(2);
-
-        const job = db.job("job-1");
-        expect(job.id).toEqual("job-1");
-        expect(await job.status()).toEqual("failed");
-        await expect(job.wait()).rejects.toThrow("worker died");
-      },
-    );
-  });
-});
@@ -86,44 +86,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      await expect(table.countRows()).resolves.toBe(3);
    });

-    it("should support a foreign Float64 vector schema end to end", async () => {
-      const conn = await connect(tmpDir.name);
-      const schema = new arrow.Schema([
-        new arrow.Field("resource_id", new arrow.Int32(), false),
-        new arrow.Field(
-          "vector",
-          new arrow.FixedSizeList(
-            3,
-            new arrow.Field("value", new arrow.Float64(), true),
-          ),
-          false,
-        ),
-      ]);
-      const data = [
-        {
-          // biome-ignore lint/style/useNamingConvention: matches the reported schema
-          resource_id: 0,
-          vector: [0.1, 0.1, 0.1],
-        },
-      ];
-
-      const resources = await conn.createTable("resources", data, { schema });
-
-      const existing = await resources
-        .query()
-        .where("resource_id = 0")
-        .limit(1)
-        .toArray();
-      expect(existing).toHaveLength(1);
-
-      const matched = await resources
-        .search(Float64Array.from(data[0].vector))
-        .limit(1)
-        .toArray();
-      expect(matched).toHaveLength(1);
-      expect(matched[0]["resource_id"]).toBe(0);
-    });
-
    it("should support branches", async () => {
      await table.add([{ id: 1 }]);
      expect(await table.countRows()).toBe(1);
@@ -277,16 +239,8 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
        },
        numIndices: 0,
        numRows: 3,
-        // Full on-disk size of the two data files, footers and metadata included.
-        totalBytes: 684,
+        totalBytes: 44,
      });
-
-      // Index files count toward totalBytes too (only deletion files and
-      // manifests are excluded).
-      await table.createIndex("id", { config: Index.btree() });
-      const statsWithIndex = await table.stats();
-      expect(statsWithIndex.numIndices).toBe(1);
-      expect(statsWithIndex.totalBytes).toBeGreaterThan(684);
    });

    it("should overwrite data if asked", async () => {
@@ -897,11 +851,7 @@ describe("When creating an index", () => {
  afterEach(() => tmpDir.removeCallback());

  it("should create a vector index on vector columns", async () => {
-    const job = await tbl.createIndexAsync("vec");
-    expect(job.id).toBeNull();
-    await job.wait();
-    // Cancelling a job that already finished succeeds and does nothing.
-    await job.cancel();
+    await tbl.createIndex("vec");

    // check index directory
    const indexDir = path.join(tmpDir.name, "test.lance", "_indices");
@@ -2819,15 +2769,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
  },
 );

-test("tokenize supports custom stop words", async () => {
-  const tokens = await tokenize("the lance data", {
-    stem: false,
-    removeStopWords: true,
-    customStopWords: ["lance"],
-  });
-  expect(tokens.map((token) => token.text)).toEqual(["the", "data"]);
-});
-
 describe("when calling explainPlan", () => {
  let tmpDir: tmp.DirResult;
  let table: Table;
@@ -29,14 +29,8 @@ test("full text search", async () => {
    const tbl = await db.createTable("myVectors", data, { mode: "overwrite" });

    await tbl.createIndex("doc", {
-      config: lancedb.Index.fts({
-        stem: false,
-        removeStopWords: true,
-        customStopWords: ["banana"],
-      }),
+      config: lancedb.Index.fts(),
    });
-    const tokens = await tbl.tokenize("apple banana", { column: "doc" });
-    expect(tokens.map((token) => token.text)).toEqual(["apple"]);

    // --8<-- [start:full_text_search]
    const result = await tbl
@@ -1,7 +1,6 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-import { tableFromIPC } from "apache-arrow";
 import {
  Data,
  SchemaLike,
@@ -21,9 +20,6 @@ import type {
  CreateNamespaceResponse,
  DescribeNamespaceResponse,
  DropNamespaceResponse,
-  Job,
-  JobDescription,
-  JobInfo,
  ListNamespacesResponse,
 } from "./native";
 export type {
@@ -440,40 +436,6 @@ export abstract class Connection {
    newName: string,
    options?: RenameTableOptions,
  ): Promise<void>;
-
-  /**
-   * A {@link Job} handle for a server-side job by id.
-   *
-   * The handle is constructed without a server round trip; an unknown id
-   * surfaces when the handle is used. Dropping the handle has no effect on
-   * the job itself.
-   */
-  abstract job(jobId: string): Job;
-
-  /** List server-side jobs across the database's tables. */
-  abstract listJobs(): Promise<JobInfo[]>;
-
-  /**
-   * Describe a single server-side job by id.
-   *
-   * Resolves to `null` when the server has no such job.
-   */
-  abstract getJob(jobId: string): Promise<JobDescription | null>;
-
-  /**
-   * Request cancellation of a server-side job by id.
-   *
-   * Resolves to true if the server accepted the cancellation, false if no
-   * such job exists. Cancelling an already-terminal job is a no-op success.
-   */
-  abstract cancelJob(jobId: string): Promise<boolean>;
-
-  /**
-   * The lifecycle event history of a server-side job, as an Arrow table.
-   *
-   * Lists history across all jobs when `jobId` is omitted.
-   */
-  abstract jobHistory(jobId?: string): Promise<ArrowTable>;
 }

 /** @hideconstructor */
@@ -760,30 +722,6 @@ export class LocalConnection extends Connection {
      options?.newNamespacePath,
    );
  }
-
-  job(jobId: string): Job {
-    return this.inner.job(jobId);
-  }
-
-  async listJobs(): Promise<JobInfo[]> {
-    return this.inner.listJobs();
-  }
-
-  async getJob(jobId: string): Promise<JobDescription | null> {
-    return this.inner.getJob(jobId);
-  }
-
-  async cancelJob(jobId: string): Promise<boolean> {
-    return this.inner.cancelJob(jobId);
-  }
-
-  async jobHistory(jobId?: string): Promise<ArrowTable> {
-    const buf = await this.inner.jobHistory(jobId);
-    if (buf.length === 0) {
-      return new ArrowTable();
-    }
-    return tableFromIPC(buf);
-  }
 }

 /**
@@ -85,13 +85,7 @@ export {
  RenameTableOptions,
 } from "./connection";

-export {
-  Job,
-  JobDescription,
-  JobFailureInfo,
-  JobInfo,
-  Session,
-} from "./native.js";
+export { Session } from "./native.js";

 export {
  ExecutableQuery,
@@ -200,16 +194,6 @@ export interface TokenizeOptions {
  /** Whether to remove stop words. */
  removeStopWords?: boolean;

-  /**
-   * Custom stop words that replace the built-in list for `language`.
-   *
-   * This option only affects tokenization when `removeStopWords` is true.
-   *
-   * `undefined` keeps the built-in language list. An empty array explicitly
-   * replaces it with no stop words.
-   */
-  customStopWords?: string[];
-
  /** Whether to fold ASCII characters. */
  asciiFolding?: boolean;

@@ -241,7 +225,6 @@ export async function tokenize(
    options?.lowercase,
    options?.stem,
    options?.removeStopWords,
-    options?.customStopWords,
    options?.asciiFolding,
    options?.ngramMinLength,
    options?.ngramMaxLength,
@@ -553,16 +553,6 @@ export interface FtsOptions {
   */
  removeStopWords?: boolean;

-  /**
-   * Custom stop words that replace the built-in list for `language`.
-   *
-   * This option only affects tokenization when `removeStopWords` is true.
-   *
-   * `undefined` keeps the built-in language list. An empty array explicitly
-   * replaces it with no stop words.
-   */
-  customStopWords?: string[];
-
  /**
   * whether to remove punctuation
   */
@@ -765,7 +755,6 @@ export class Index {
        options?.lowercase,
        options?.stem,
        options?.removeStopWords,
-        options?.customStopWords,
        options?.asciiFolding,
        options?.ngramMinLength,
        options?.ngramMaxLength,
@@ -9,7 +9,7 @@
 // comes from the exact same library instance.  This is not always the case
 // and so we must sanitize the input to ensure that it is compatible.

-import { BufferType, Data, Vector } from "apache-arrow";
+import { BufferType, Data } from "apache-arrow";
 import type { IntBitWidth, TKeys, TimeBitWidth } from "apache-arrow/type";
 import {
  Binary,
@@ -74,20 +74,6 @@ import {
  Utf8,
 } from "./arrow";

-type SanitizationContext = {
-  types: WeakMap<object, DataType>;
-  vectors: WeakMap<object, Vector>;
-  data: WeakMap<object, Data<DataType>>;
-};
-
-function createSanitizationContext(): SanitizationContext {
-  return {
-    types: new WeakMap(),
-    vectors: new WeakMap(),
-    data: new WeakMap(),
-  };
-}
-
 export function sanitizeMetadata(
  metadataLike?: unknown,
 ): Map<string, string> | undefined {
@@ -200,13 +186,6 @@ export function sanitizeInterval(typeLike: object) {
 }

 export function sanitizeList(typeLike: object) {
-  return sanitizeListWithContext(typeLike, createSanitizationContext());
-}
-
-function sanitizeListWithContext(
-  typeLike: object,
-  context: SanitizationContext,
-) {
  if (!("children" in typeLike) || !Array.isArray(typeLike.children)) {
    throw Error(
      "Expected a List type to have an array-like `children` property",
@@ -215,35 +194,19 @@ function sanitizeListWithContext(
  if (typeLike.children.length !== 1) {
    throw Error("Expected a List type to have exactly one child");
  }
-  return new List(sanitizeFieldWithContext(typeLike.children[0], context));
+  return new List(sanitizeField(typeLike.children[0]));
 }

 export function sanitizeStruct(typeLike: object) {
-  return sanitizeStructWithContext(typeLike, createSanitizationContext());
-}
-
-function sanitizeStructWithContext(
-  typeLike: object,
-  context: SanitizationContext,
-) {
  if (!("children" in typeLike) || !Array.isArray(typeLike.children)) {
    throw Error(
      "Expected a Struct type to have an array-like `children` property",
    );
  }
-  return new Struct(
-    typeLike.children.map((child) => sanitizeFieldWithContext(child, context)),
-  );
+  return new Struct(typeLike.children.map((child) => sanitizeField(child)));
 }

 export function sanitizeUnion(typeLike: object) {
-  return sanitizeUnionWithContext(typeLike, createSanitizationContext());
-}
-
-function sanitizeUnionWithContext(
-  typeLike: object,
-  context: SanitizationContext,
-) {
  if (
    !("typeIds" in typeLike) ||
    !("mode" in typeLike) ||
@@ -263,7 +226,7 @@ function sanitizeUnionWithContext(
    typeLike.mode,
    // biome-ignore lint/suspicious/noExplicitAny: skip
    typeLike.typeIds as any,
-    typeLike.children.map((child) => sanitizeFieldWithContext(child, context)),
+    typeLike.children.map((child) => sanitizeField(child)),
  );
 }

@@ -271,19 +234,6 @@ export function sanitizeTypedUnion(
  typeLike: object,
  // eslint-disable-next-line @typescript-eslint/naming-convention
  UnionType: typeof DenseUnion | typeof SparseUnion,
-) {
-  return sanitizeTypedUnionWithContext(
-    typeLike,
-    UnionType,
-    createSanitizationContext(),
-  );
-}
-
-function sanitizeTypedUnionWithContext(
-  typeLike: object,
-  // eslint-disable-next-line @typescript-eslint/naming-convention
-  UnionType: typeof DenseUnion | typeof SparseUnion,
-  context: SanitizationContext,
 ) {
  if (!("typeIds" in typeLike)) {
    throw Error(
@@ -298,7 +248,7 @@ function sanitizeTypedUnionWithContext(

  return new UnionType(
    typeLike.typeIds as Int32Array | number[],
-    typeLike.children.map((child) => sanitizeFieldWithContext(child, context)),
+    typeLike.children.map((child) => sanitizeField(child)),
  );
 }

@@ -312,16 +262,6 @@ export function sanitizeFixedSizeBinary(typeLike: object) {
 }

 export function sanitizeFixedSizeList(typeLike: object) {
-  return sanitizeFixedSizeListWithContext(
-    typeLike,
-    createSanitizationContext(),
-  );
-}
-
-function sanitizeFixedSizeListWithContext(
-  typeLike: object,
-  context: SanitizationContext,
-) {
  if (!("listSize" in typeLike) || typeof typeLike.listSize !== "number") {
    throw Error("Expected a FixedSizeList type to have a `listSize` property");
  }
@@ -335,18 +275,11 @@ function sanitizeFixedSizeListWithContext(
  }
  return new FixedSizeList(
    typeLike.listSize,
-    sanitizeFieldWithContext(typeLike.children[0], context),
+    sanitizeField(typeLike.children[0]),
  );
 }

 export function sanitizeMap(typeLike: object) {
-  return sanitizeMapWithContext(typeLike, createSanitizationContext());
-}
-
-function sanitizeMapWithContext(
-  typeLike: object,
-  context: SanitizationContext,
-) {
  if (!("children" in typeLike) || !Array.isArray(typeLike.children)) {
    throw Error(
      "Expected a Map type to have an array-like `children` property",
@@ -359,10 +292,7 @@ function sanitizeMapWithContext(
    throw Error("Expected a Map type to have exactly one child");
  }

-  return new Map_(
-    sanitizeFieldWithContext(typeLike.children[0], context),
-    typeLike.keysSorted,
-  );
+  return new Map_(sanitizeField(typeLike.children[0]), typeLike.keysSorted);
 }

 export function sanitizeDuration(typeLike: object) {
@@ -373,13 +303,6 @@ export function sanitizeDuration(typeLike: object) {
 }

 export function sanitizeDictionary(typeLike: object) {
-  return sanitizeDictionaryWithContext(typeLike, createSanitizationContext());
-}
-
-function sanitizeDictionaryWithContext(
-  typeLike: object,
-  context: SanitizationContext,
-) {
  if (!("id" in typeLike) || typeof typeLike.id !== "number") {
    throw Error("Expected a Dictionary type to have an `id` property");
  }
@@ -393,8 +316,8 @@ function sanitizeDictionaryWithContext(
    throw Error("Expected a Dictionary type to have an `isOrdered` property");
  }
  return new Dictionary(
-    sanitizeTypeWithContext(typeLike.dictionary, context),
-    sanitizeTypeWithContext(typeLike.indices, context) as TKeys,
+    sanitizeType(typeLike.dictionary),
+    sanitizeType(typeLike.indices) as TKeys,
    typeLike.id,
    typeLike.isOrdered,
  );
@@ -402,23 +325,12 @@ function sanitizeDictionaryWithContext(

 // biome-ignore lint/suspicious/noExplicitAny: skip
 export function sanitizeType(typeLike: unknown): DataType<any> {
-  return sanitizeTypeWithContext(typeLike, createSanitizationContext());
-}
-
-function sanitizeTypeWithContext(
-  typeLike: unknown,
-  context: SanitizationContext,
-): DataType {
  if (typeof typeLike === "string") {
    return dataTypeFromName(typeLike);
  }
  if (typeof typeLike !== "object" || typeLike === null) {
    throw Error("Expected a Type but object was null/undefined");
  }
-  const cached = context.types.get(typeLike);
-  if (cached !== undefined) {
-    return cached;
-  }
  if (
    !("typeId" in typeLike) ||
    !(
@@ -437,16 +349,6 @@ function sanitizeTypeWithContext(
    throw Error("Type's typeId property was not a function or number");
  }

-  const type = sanitizeTypeById(typeLike, typeId, context);
-  context.types.set(typeLike, type);
-  return type;
-}
-
-function sanitizeTypeById(
-  typeLike: object,
-  typeId: Type,
-  context: SanitizationContext,
-): DataType {
  switch (typeId) {
    case Type.NONE:
      throw Error("Received a Type with a typeId of NONE");
@@ -473,21 +375,21 @@ function sanitizeTypeById(
    case Type.Interval:
      return sanitizeInterval(typeLike);
    case Type.List:
-      return sanitizeListWithContext(typeLike, context);
+      return sanitizeList(typeLike);
    case Type.Struct:
-      return sanitizeStructWithContext(typeLike, context);
+      return sanitizeStruct(typeLike);
    case Type.Union:
-      return sanitizeUnionWithContext(typeLike, context);
+      return sanitizeUnion(typeLike);
    case Type.FixedSizeBinary:
      return sanitizeFixedSizeBinary(typeLike);
    case Type.FixedSizeList:
-      return sanitizeFixedSizeListWithContext(typeLike, context);
+      return sanitizeFixedSizeList(typeLike);
    case Type.Map:
-      return sanitizeMapWithContext(typeLike, context);
+      return sanitizeMap(typeLike);
    case Type.Duration:
      return sanitizeDuration(typeLike);
    case Type.Dictionary:
-      return sanitizeDictionaryWithContext(typeLike, context);
+      return sanitizeDictionary(typeLike);
    case Type.Int8:
      return new Int8();
    case Type.Int16:
@@ -531,9 +433,9 @@ function sanitizeTypeById(
    case Type.TimestampSecond:
      return sanitizeTypedTimestamp(typeLike, TimestampSecond);
    case Type.DenseUnion:
-      return sanitizeTypedUnionWithContext(typeLike, DenseUnion, context);
+      return sanitizeTypedUnion(typeLike, DenseUnion);
    case Type.SparseUnion:
-      return sanitizeTypedUnionWithContext(typeLike, SparseUnion, context);
+      return sanitizeTypedUnion(typeLike, SparseUnion);
    case Type.IntervalDayTime:
      return new IntervalDayTime();
    case Type.IntervalYearMonth:
@@ -552,13 +454,6 @@ function sanitizeTypeById(
 }

 export function sanitizeField(fieldLike: unknown): Field {
-  return sanitizeFieldWithContext(fieldLike, createSanitizationContext());
-}
-
-function sanitizeFieldWithContext(
-  fieldLike: unknown,
-  context: SanitizationContext,
-): Field {
  if (fieldLike instanceof Field) {
    return fieldLike;
  }
@@ -576,7 +471,7 @@ function sanitizeFieldWithContext(
  }
  let type: DataType;
  try {
-    type = sanitizeTypeWithContext(fieldLike.type, context);
+    type = sanitizeType(fieldLike.type);
  } catch (error: unknown) {
    throw Error(
      `Unable to sanitize type for field: ${fieldLike.name} due to error: ${error}`,
@@ -606,13 +501,6 @@ function sanitizeFieldWithContext(
 * than lancedb is using.
 */
 export function sanitizeSchema(schemaLike: SchemaLike): Schema {
-  return sanitizeSchemaWithContext(schemaLike, createSanitizationContext());
-}
-
-function sanitizeSchemaWithContext(
-  schemaLike: SchemaLike,
-  context: SanitizationContext,
-): Schema {
  if (schemaLike instanceof Schema) {
    return schemaLike;
  }
@@ -634,7 +522,7 @@ function sanitizeSchemaWithContext(
    );
  }
  const sanitizedFields = schemaLike.fields.map((field) =>
-    sanitizeFieldWithContext(field, context),
+    sanitizeField(field),
  );
  return new Schema(sanitizedFields, metadata);
 }
@@ -656,18 +544,13 @@ export function sanitizeTable(tableLike: TableLike): Table {
      "The table passed in does not appear to be a table (no 'columns' property)",
    );
  }
-  const context = createSanitizationContext();
-  const schema = sanitizeSchemaWithContext(tableLike.schema, context);
-  const batches = tableLike.batches.map((batch) =>
-    sanitizeRecordBatch(batch, context),
-  );
+  const schema = sanitizeSchema(tableLike.schema);
+
+  const batches = tableLike.batches.map(sanitizeRecordBatch);
  return new Table(schema, batches);
 }

-function sanitizeRecordBatch(
-  batchLike: RecordBatchLike,
-  context: SanitizationContext,
-): RecordBatch {
+function sanitizeRecordBatch(batchLike: RecordBatchLike): RecordBatch {
  if (batchLike instanceof RecordBatch) {
    return batchLike;
  }
@@ -684,43 +567,19 @@ function sanitizeRecordBatch(
      "The record batch passed in does not appear to be a record batch (no 'data' property)",
    );
  }
-  const schema = sanitizeSchemaWithContext(batchLike.schema, context);
-  const data = sanitizeData(batchLike.data, context) as Data<Struct>;
+  const schema = sanitizeSchema(batchLike.schema);
+  const data = sanitizeData(batchLike.data);
  return new RecordBatch(schema, data);
 }
-
-type DictionaryVectorLike = {
-  data: readonly DataLike[];
-};
-
-type DictionaryDataLike = DataLike & {
-  dictionary?: DictionaryVectorLike;
-};
-
 function sanitizeData(
  dataLike: DataLike,
-  context: SanitizationContext,
-): Data<DataType> {
+  // biome-ignore lint/suspicious/noExplicitAny: <explanation>
+): import("apache-arrow").Data<Struct<any>> {
  if (dataLike instanceof Data) {
    return dataLike;
  }
-  const cachedData = context.data.get(dataLike);
-  if (cachedData !== undefined) {
-    return cachedData;
-  }
-  const dictionaryLike = (dataLike as DictionaryDataLike).dictionary;
-  let dictionary: Vector | undefined;
-  if (dictionaryLike !== undefined) {
-    dictionary = context.vectors.get(dictionaryLike);
-    if (dictionary === undefined) {
-      dictionary = new Vector(
-        dictionaryLike.data.map((data) => sanitizeData(data, context)),
-      );
-      context.vectors.set(dictionaryLike, dictionary);
-    }
-  }
-  const data = new Data(
-    sanitizeTypeWithContext(dataLike.type, context),
+  return new Data(
+    dataLike.type,
    dataLike.offset,
    dataLike.length,
    dataLike.nullCount,
@@ -730,11 +589,7 @@ function sanitizeData(
      [BufferType.VALIDITY]: dataLike.nullBitmap,
      [BufferType.TYPE]: dataLike.typeIds,
    },
-    dataLike.children.map((child) => sanitizeData(child, context)),
-    dictionary,
  );
-  context.data.set(dataLike, data);
-  return data;
 }

 const constructorsByTypeName = {
@@ -30,7 +30,6 @@ import {
  DropColumnsResult,
  IndexConfig,
  IndexStatistics,
-  Job,
  Branches as NativeBranches,
  OptimizeStats,
  TableStatistics,
@@ -359,17 +358,6 @@ export abstract class Table {
    options?: Partial<IndexOptions>,
  ): Promise<void>;

-  /**
-   * Create an index, returning a handle to the indexing job.
-   *
-   * The job may already be complete when returned; callers must not assume
-   * the index exists until {@link Job.wait} resolves.
-   */
-  abstract createIndexAsync(
-    column: string,
-    options?: Partial<IndexOptions>,
-  ): Promise<Job>;
-
  /**
   * Drop an index from the table.
   *
@@ -952,22 +940,6 @@ export class LocalTable extends Table {
    );
  }

-  async createIndexAsync(
-    column: string,
-    options?: Partial<IndexOptions>,
-  ): Promise<Job> {
-    // biome-ignore lint/suspicious/noExplicitAny: skip
-    const nativeIndex = (options?.config as any)?.inner;
-    return await this.inner.createIndexAsync(
-      nativeIndex,
-      column,
-      options?.replace,
-      options?.waitTimeoutSeconds,
-      options?.name,
-      options?.train,
-    );
-  }
-
  async dropIndex(name: string): Promise<void> {
    await this.inner.dropIndex(name);
  }
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.37.1",
+	"version": "0.37.1-beta.0",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.37.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.37.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.37.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.37.1",
+	"version": "0.37.1-beta.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.37.1",
+  "version": "0.37.1-beta.0",
  "os": [
    "win32"
  ],
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.37.1",
+	"version": "0.37.1-beta.0",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
@@ -1,12 +1,12 @@
 {
  "name": "@lancedb/lancedb",
-  "version": "0.37.1",
+  "version": "0.37.0-beta.0",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@lancedb/lancedb",
-      "version": "0.37.1",
+      "version": "0.37.0-beta.0",
      "cpu": [
        "x64",
        "arm64"
@@ -55,13 +55,7 @@
        "openai": "4.29.2"
      },
      "peerDependencies": {
-        "@types/node": ">=18",
        "apache-arrow": ">=15.0.0 <=18.1.0"
-      },
-      "peerDependenciesMeta": {
-        "@types/node": {
-          "optional": true
-        }
      }
    },
    "node_modules/@aws-crypto/crc32": {
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.37.1",
+  "version": "0.37.1-beta.0",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
@@ -101,12 +101,6 @@
    "openai": "4.29.2"
  },
  "peerDependencies": {
-    "@types/node": ">=18",
    "apache-arrow": ">=15.0.0 <=18.1.0"
-  },
-  "peerDependenciesMeta": {
-    "@types/node": {
-      "optional": true
-    }
  }
 }
@@ -340,69 +340,6 @@ impl Connection {
        self.get_inner()?.drop_all_tables(&ns).await.default_error()
    }

-    /// A `Job` handle for a server-side job by id.
-    ///
-    /// The handle is constructed without a server round trip; an unknown id
-    /// surfaces when the handle is used.
-    #[napi]
-    pub fn job(&self, job_id: String) -> napi::Result<crate::job::Job> {
-        let job = self.get_inner()?.job(job_id).default_error()?;
-        Ok(crate::job::Job::new(job))
-    }
-
-    /// List server-side jobs across the database's tables.
-    #[napi(catch_unwind)]
-    pub async fn list_jobs(&self) -> napi::Result<Vec<crate::job::JobInfo>> {
-        let jobs = self.get_inner()?.list_jobs().await.default_error()?;
-        Ok(jobs.into_iter().map(Into::into).collect())
-    }
-
-    /// Describe a single server-side job by id. `null` when the server has
-    /// no such job.
-    #[napi(catch_unwind)]
-    pub async fn get_job(
-        &self,
-        job_id: String,
-    ) -> napi::Result<Option<crate::job::JobDescription>> {
-        let description = self.get_inner()?.get_job(&job_id).await.default_error()?;
-        Ok(description.map(Into::into))
-    }
-
-    /// Request cancellation of a server-side job by id. Returns true if the
-    /// server accepted the cancellation, false if no such job exists.
-    #[napi(catch_unwind)]
-    pub async fn cancel_job(&self, job_id: String) -> napi::Result<bool> {
-        self.get_inner()?.cancel_job(&job_id).await.default_error()
-    }
-
-    /// The lifecycle event history of a server-side job (all jobs when
-    /// `job_id` is null), as an Arrow IPC stream buffer. Empty when there is
-    /// no history.
-    #[napi(catch_unwind)]
-    pub async fn job_history(&self, job_id: Option<String>) -> napi::Result<Buffer> {
-        let batches = self
-            .get_inner()?
-            .job_history(job_id.as_deref())
-            .await
-            .default_error()?;
-        let Some(first) = batches.first() else {
-            return Ok(Buffer::from(Vec::<u8>::new()));
-        };
-        let mut out = Vec::new();
-        let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut out, &first.schema())
-            .map_err(|e| napi::Error::from_reason(e.to_string()))?;
-        for batch in &batches {
-            writer
-                .write(batch)
-                .map_err(|e| napi::Error::from_reason(e.to_string()))?;
-        }
-        writer
-            .finish()
-            .map_err(|e| napi::Error::from_reason(e.to_string()))?;
-        drop(writer);
-        Ok(Buffer::from(out))
-    }
-
    #[napi(catch_unwind)]
    /// Describe a namespace and return its properties.
    pub async fn describe_namespace(
@@ -43,7 +43,6 @@ pub fn tokenize(
    lower_case: Option<bool>,
    stem: Option<bool>,
    remove_stop_words: Option<bool>,
-    custom_stop_words: Option<Vec<String>>,
    ascii_folding: Option<bool>,
    ngram_min_length: Option<u32>,
    ngram_max_length: Option<u32>,
@@ -73,7 +72,6 @@ pub fn tokenize(
    if let Some(remove_stop_words) = remove_stop_words {
        opts = opts.remove_stop_words(remove_stop_words);
    }
-    opts = opts.custom_stop_words(custom_stop_words);
    if let Some(ascii_folding) = ascii_folding {
        opts = opts.ascii_folding(ascii_folding);
    }
@@ -224,7 +222,6 @@ impl Index {
        lower_case: Option<bool>,
        stem: Option<bool>,
        remove_stop_words: Option<bool>,
-        custom_stop_words: Option<Vec<String>>,
        ascii_folding: Option<bool>,
        ngram_min_length: Option<u32>,
        ngram_max_length: Option<u32>,
@@ -253,7 +250,6 @@ impl Index {
        if let Some(remove_stop_words) = remove_stop_words {
            opts = opts.remove_stop_words(remove_stop_words);
        }
-        opts = opts.custom_stop_words(custom_stop_words);
        if let Some(ascii_folding) = ascii_folding {
            opts = opts.ascii_folding(ascii_folding);
        }
@@ -1,123 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-use std::sync::Arc;
-
-use napi_derive::napi;
-
-use crate::error::NapiErrorExt;
-
-/// A handle to an operation that may still be running.
-#[napi]
-pub struct Job {
-    inner: Arc<lancedb::Job>,
-}
-
-impl Job {
-    pub(crate) fn new(inner: lancedb::Job) -> Self {
-        Self {
-            inner: Arc::new(inner),
-        }
-    }
-}
-
-#[napi]
-impl Job {
-    /// Identifies the operation on the server that is running it. Operations
-    /// that run in this process have no server id. The value is opaque.
-    #[napi(getter)]
-    pub fn id(&self) -> Option<String> {
-        self.inner.id().map(str::to_string)
-    }
-
-    /// The operation's current lifecycle state: "running", "finished",
-    /// "failed", or "cancelled".
-    ///
-    /// A point snapshot; unlike {@link Job.wait} it does not block or reject
-    /// on a terminal failure state. States a newer server reports that this
-    /// client version does not know pass through as-is.
-    #[napi(catch_unwind)]
-    pub async fn status(&self) -> napi::Result<String> {
-        self.inner.status().await.default_error()
-    }
-
-    /// Wait until the operation reaches a terminal state.
-    #[napi(catch_unwind)]
-    pub async fn wait(&self) -> napi::Result<()> {
-        self.inner.wait().await.default_error()
-    }
-
-    /// Request cancellation. Cancelling a finished operation is a no-op.
-    #[napi(catch_unwind)]
-    pub async fn cancel(&self) -> napi::Result<()> {
-        self.inner.cancel().await.default_error()
-    }
-}
-
-/// A row from `Connection.listJobs`: one server-side job.
-#[napi(object)]
-pub struct JobInfo {
-    /// The job id -- what `Connection.getJob` and `Connection.cancelJob`
-    /// accept.
-    pub job_id: String,
-    /// The table the job runs against, without URI or namespace.
-    pub table: String,
-    pub job_type: String,
-    /// Lifecycle state: "running", "finished", "failed", or "cancelled".
-    pub state: String,
-    /// When the job was created, in milliseconds since the epoch.
-    pub created_at_millis: i64,
-}
-
-impl From<lancedb::database::JobInfo> for JobInfo {
-    fn from(info: lancedb::database::JobInfo) -> Self {
-        Self {
-            job_id: info.job_id,
-            table: info.table,
-            job_type: info.job_type,
-            state: info.state,
-            created_at_millis: info.created_at_millis,
-        }
-    }
-}
-
-/// The server's account of why a job failed.
-#[napi(object)]
-pub struct JobFailureInfo {
-    pub phase: Option<String>,
-    pub message: Option<String>,
-    pub retryable: Option<bool>,
-}
-
-/// A described job from `Connection.getJob`.
-#[napi(object)]
-pub struct JobDescription {
-    pub job_id: String,
-    pub job_type: String,
-    /// Lifecycle state: "running", "finished", "failed", or "cancelled".
-    pub state: String,
-    /// When the job was created, in milliseconds since the epoch.
-    pub creation_ms: i64,
-    /// The job-type-specific specification as a JSON string, when present.
-    pub spec_json: Option<String>,
-    /// Why the job failed, when the job is failed and the server reports a
-    /// reason.
-    pub failure: Option<JobFailureInfo>,
-}
-
-impl From<lancedb::database::JobDescription> for JobDescription {
-    fn from(description: lancedb::database::JobDescription) -> Self {
-        Self {
-            job_id: description.job_id,
-            job_type: description.job_type,
-            state: description.state,
-            creation_ms: description.creation_ms,
-            spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
-            failure: description.failure.map(|failure| JobFailureInfo {
-                phase: failure.phase,
-                message: failure.message,
-                retryable: failure.retryable,
-            }),
-        }
-    }
-}
@@ -11,7 +11,6 @@ mod error;
 mod header;
 mod index;
 mod iterator;
-mod job;
 pub mod merge;
 pub mod otel;
 pub mod permutation;
@@ -168,39 +168,6 @@ impl Table {
        builder.execute().await.default_error()
    }

-    #[napi(catch_unwind)]
-    pub async fn create_index_async(
-        &self,
-        index: Option<&Index>,
-        column: String,
-        replace: Option<bool>,
-        wait_timeout_s: Option<i64>,
-        name: Option<String>,
-        train: Option<bool>,
-    ) -> napi::Result<crate::job::Job> {
-        let lancedb_index = if let Some(index) = index {
-            index.consume()?
-        } else {
-            lancedb::index::Index::Auto
-        };
-        let mut builder = self.inner_ref()?.create_index(&[column], lancedb_index);
-        if let Some(replace) = replace {
-            builder = builder.replace(replace);
-        }
-        if let Some(timeout) = wait_timeout_s {
-            builder =
-                builder.wait_timeout(std::time::Duration::from_secs(timeout.try_into().unwrap()));
-        }
-        if let Some(name) = name {
-            builder = builder.name(name);
-        }
-        if let Some(train) = train {
-            builder = builder.train(train);
-        }
-        let job = builder.execute_async().await.default_error()?;
-        Ok(crate::job::Job::new(job))
-    }
-
    #[napi(catch_unwind)]
    pub async fn drop_index(&self, index_name: String) -> napi::Result<()> {
        self.inner_ref()?
@@ -339,9 +306,7 @@ impl Table {
        let transforms = NewColumnTransform::SqlExpressions(transforms);
        let res = self
            .inner_ref()?
-            .add_columns()
-            .transform(transforms)
-            .execute()
+            .add_columns(transforms, None)
            .await
            .default_error()?;
        Ok(res.into())
@@ -358,9 +323,7 @@ impl Table {
        let transforms = NewColumnTransform::AllNulls(schema);
        let res = self
            .inner_ref()?
-            .add_columns()
-            .transform(transforms)
-            .execute()
+            .add_columns(transforms, None)
            .await
            .default_error()?;
        Ok(res.into())
@@ -1043,10 +1006,7 @@ impl From<lancedb::index::IndexStatistics> for IndexStatistics {

 #[napi(object)]
 pub struct TableStatistics {
-    /// The total size, in bytes, of the table's data files, index files, and
-    /// overlay files
-    ///
-    /// Read from the manifest, so this excludes deletion files and manifests.
+    /// The total number of bytes in the table
    pub total_bytes: i64,

    /// The number of rows in the table
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.37.1"
+version = "0.37.1-beta.0"
 publish = false
 edition.workspace = true
 description = "Python bindings for LanceDB"
@@ -26,7 +26,7 @@ lance-namespace-impls.workspace = true
 lance-io.workspace = true
 env_logger.workspace = true
 log.workspace = true
-pyo3 = { version = "0.28", features = ["extension-module", "abi3-py310", "chrono"] }
+pyo3 = { version = "0.28", features = ["extension-module", "abi3-py39", "chrono"] }
 chrono = { version = "0.4", default-features = false, features = ["clock"] }
 pyo3-async-runtimes = { version = "0.28", features = [
    "attributes",
@@ -43,7 +43,7 @@ libc = "0.2"
 [build-dependencies]
 pyo3-build-config = { version = "0.28", features = [
    "extension-module",
-    "abi3-py310",
+    "abi3-py39",
 ] }

 [features]
@@ -60,10 +60,10 @@ tests = [
    "pytest-asyncio>=0.21",
    "duckdb>=0.9.0",
    "pytz>=2023.3",
-    "polars>=0.19, <=1.32.3",
+    "polars>=0.19, <=1.3.0",
    "pyarrow<25",
    "pyarrow-stubs>=16.0",
-    "pylance==10.0.0",
+    "pylance==9.0.0rc1",
    "requests>=2.31.0",
    "datafusion>=54,<55",
    "opentelemetry-sdk>=1.30.0",
@@ -140,7 +140,6 @@ include = [
    "python/lancedb/remote/errors.py",
    "python/lancedb/embeddings/__init__.py",
    "python/lancedb/_lancedb.pyi",
-    "python/type_tests/connect.py",
 ]
 exclude = ["python/tests/"]
 pythonVersion = "3.13"
@@ -20,7 +20,6 @@ from .remote import ClientConfig
 from .remote.db import RemoteDBConnection
 from .expr import Expr, col, lit, func
 from .schema import blob, vector, BlobType
-from .job import AsyncJob, Job
 from .table import AsyncTable, Table
 from .types import BaseTokenizerType
 from ._lancedb import Session
@@ -259,7 +258,6 @@ def tokenize(
    lower_case: bool = True,
    stem: bool = True,
    remove_stop_words: bool = True,
-    custom_stop_words: Optional[List[str]] = None,
    ascii_folding: bool = True,
    ngram_min_length: int = 3,
    ngram_max_length: int = 3,
@@ -267,10 +265,9 @@ def tokenize(
 ) -> Iterable[FtsToken]:
    """Tokenize a full-text search query using an explicit tokenizer.

-    This does not require an FTS index. The tokenizer options match
-    :class:`lancedb.index.FTS`. ``custom_stop_words`` accepts a list of strings.
+    This does not require a table or FTS index. The tokenizer options match
+    :class:`lancedb.index.FTS`.
    """
-
    return _tokenize(
        query,
        base_tokenizer=base_tokenizer,
@@ -279,7 +276,6 @@ def tokenize(
        lower_case=lower_case,
        stem=stem,
        remove_stop_words=remove_stop_words,
-        custom_stop_words=custom_stop_words,
        ascii_folding=ascii_folding,
        ngram_min_length=ngram_min_length,
        ngram_max_length=ngram_max_length,
@@ -501,7 +497,6 @@ __all__ = [
    "connect_namespace",
    "connect_namespace_async",
    "AsyncConnection",
-    "AsyncJob",
    "AsyncLanceNamespaceDBConnection",
    "AsyncTable",
    "FtsToken",
@@ -515,7 +510,6 @@ __all__ = [
    "BlobType",
    "vector",
    "DBConnection",
-    "Job",
    "LanceDBConnection",
    "LanceNamespaceDBConnection",
    "RemoteDBConnection",
@@ -14,10 +14,14 @@ import pyarrow as pa
 from .expr import Expr
 from .schema import blob_v2_column_paths
 from .types import BlobMode, QueryProjection, QueryProjectionSpec
+from .util import get_uri_scheme

 if TYPE_CHECKING:
    from _typeshed import WriteableBuffer

+    from .remote.table import RemoteTable
+    from .table import AsyncTable, Table
+
 BLOB_MODE_TO_HANDLING = {
    "lazy": "blobs_descriptions",
    "bytes": "all_binary",
@@ -100,6 +104,22 @@ def validate_blob_mode(blob_mode: BlobMode) -> None:
        raise ValueError(f"blob_mode must be one of {modes}, got {blob_mode!r}")


+def supports_blob_auto_row_id(table: Table | AsyncTable | RemoteTable) -> bool:
+    """Blob auto row-id applies to native tables, not LanceDB Cloud."""
+    from .remote.table import RemoteTable
+
+    if isinstance(table, RemoteTable):
+        return False
+
+    inner = getattr(table, "_inner", None)
+    if inner is not None:
+        uri = inner.database().uri
+        if isinstance(uri, str) and get_uri_scheme(uri) == "db":
+            return False
+
+    return True
+
+
 def projection_includes_blob_column(
    projection: QueryProjection,
    blob_columns: Iterable[str],
@@ -144,14 +164,16 @@ def v2_projection_needs_row_id(


 def blob_auto_row_id_for_scan(
+    table: Table | AsyncTable | RemoteTable,
    schema: pa.Schema,
    projection: QueryProjection,
    *,
    with_row_id: bool | None,
 ) -> bool:
-    """Auto row-id only applies when the caller said nothing about row ids."""
    if with_row_id is not None:
        return False
+    if not supports_blob_auto_row_id(table):
+        return False
    return v2_projection_needs_row_id(schema, projection, with_row_id=False)


@@ -164,11 +186,6 @@ def finalize_blob_query_table(
 ) -> pa.Table:
    if user_requested_row_id or not blob_auto_row_id:
        return tbl
-    if "_rowid" not in tbl.column_names:
-        # A backend that ignores the row-id request leaves nothing to stash. Hand
-        # back the projection as-is so fetch_blobs raises the error that names the
-        # ways to supply row ids, rather than failing here about a hidden column.
-        return tbl
    return stash_auto_row_ids(tbl, blob_paths)


@@ -59,7 +59,6 @@ def tokenize(
    lower_case: bool = True,
    stem: bool = True,
    remove_stop_words: bool = True,
-    custom_stop_words: Optional[List[str]] = None,
    ascii_folding: bool = True,
    ngram_min_length: int = 3,
    ngram_max_length: int = 3,
@@ -146,13 +145,6 @@ class Connection(object):
        start_after: Optional[str],
        limit: Optional[int],
    ) -> list[str]: ...  # Deprecated: Use list_tables instead
-    def job(self, job_id: str) -> Job: ...
-    async def list_jobs(self) -> List[JobInfo]: ...
-    async def get_job(self, job_id: str) -> Optional[JobDescription]: ...
-    async def cancel_job(self, job_id: str) -> bool: ...
-    async def job_history(
-        self, job_id: Optional[str] = None
-    ) -> List[pa.RecordBatch]: ...
    async def create_table(
        self,
        name: str,
@@ -216,47 +208,6 @@ class BlobFile:
    def read_range(self, offset: int, length: int) -> bytes: ...
    def read_up_to(self, length: int) -> bytes: ...

-class Job:
-    @property
-    def id(self) -> Optional[str]: ...
-    async def status(self) -> str: ...
-    async def wait(self) -> None: ...
-    async def cancel(self) -> None: ...
-
-class JobInfo:
-    @property
-    def job_id(self) -> str: ...
-    @property
-    def table(self) -> str: ...
-    @property
-    def job_type(self) -> str: ...
-    @property
-    def state(self) -> str: ...
-    @property
-    def created_at_millis(self) -> int: ...
-
-class JobFailureInfo:
-    @property
-    def phase(self) -> Optional[str]: ...
-    @property
-    def message(self) -> Optional[str]: ...
-    @property
-    def retryable(self) -> Optional[bool]: ...
-
-class JobDescription:
-    @property
-    def job_id(self) -> str: ...
-    @property
-    def job_type(self) -> str: ...
-    @property
-    def state(self) -> str: ...
-    @property
-    def creation_ms(self) -> int: ...
-    @property
-    def spec_json(self) -> Optional[str]: ...
-    @property
-    def failure(self) -> Optional[JobFailureInfo]: ...
-
 class Table:
    def name(self) -> str: ...
    def __repr__(self) -> str: ...
@@ -296,28 +247,6 @@ class Table:
        name: Optional[str],
        train: Optional[bool],
    ): ...
-    async def create_index_async(
-        self,
-        column: str,
-        index: Union[
-            IvfFlat,
-            IvfSq,
-            IvfPq,
-            HnswPq,
-            HnswSq,
-            HnswFlat,
-            BTree,
-            Bitmap,
-            LabelList,
-            Fm,
-            FTS,
-        ],
-        replace: Optional[bool],
-        wait_timeout: Optional[object],
-        *,
-        name: Optional[str],
-        train: Optional[bool],
-    ) -> Job: ...
    async def list_versions(self) -> List[Dict[str, Any]]: ...
    async def version(self) -> int: ...
    async def checkout(self, version: Union[int, str]): ...
@@ -355,10 +284,6 @@ class Table:
    async def set_lsm_write_spec(self, spec: LsmWriteSpec) -> None: ...
    async def unset_lsm_write_spec(self) -> None: ...
    async def get_lsm_write_spec(self) -> Optional[LsmWriteSpec]: ...
-    async def checkpoint_lsm(self) -> None: ...
-    async def flush_lsm(self) -> None: ...
-    async def compact_lsm(self) -> None: ...
-    async def get_lsm_stats(self, include_generation_rows: bool) -> Optional[dict]: ...
    async def close_lsm_writers(self) -> None: ...
    @property
    def tags(self) -> Tags: ...
@@ -45,7 +45,6 @@ from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError

 from . import __version__
 from ._lancedb import connect as lancedb_connect  # type: ignore
-from .job import AsyncJob, Job
 from .table import (
    AsyncTable,
    LanceTable,
@@ -64,7 +63,6 @@ if TYPE_CHECKING:
    from .pydantic import LanceModel

    from ._lancedb import Connection as LanceDbConnection
-    from ._lancedb import JobDescription, JobInfo
    from .common import DATA, URI
    from .embeddings import EmbeddingFunctionConfig
    from ._lancedb import Session
@@ -180,51 +178,6 @@ class DBConnection(EnforceOverrides):
            "Namespace operations are not supported for this connection type"
        )

-    def namespace_exists(self, namespace_id: List[str]) -> bool:
-        """Check if a namespace exists.
-
-        Parameters
-        ----------
-        namespace_id: List[str]
-            The namespace identifier to check.
-
-        Returns
-        -------
-        bool
-            True if the namespace exists, False otherwise.
-
-        Raises
-        ------
-        NotImplementedError
-            If the connection type does not support namespace operations.
-        """
-        raise NotImplementedError(
-            "Namespace operations are not supported for this connection type"
-        )
-
-    def table_exists(self, table_id: List[str]) -> bool:
-        """Check if a table exists.
-
-        Parameters
-        ----------
-        table_id: List[str]
-            The table identifier to check (full path including namespace
-            segments and table name).
-
-        Returns
-        -------
-        bool
-            True if the table exists, False otherwise.
-
-        Raises
-        ------
-        NotImplementedError
-            If the connection type does not support namespace operations.
-        """
-        raise NotImplementedError(
-            "Namespace operations are not supported for this connection type"
-        )
-
    def list_tables(
        self,
        namespace_path: Optional[List[str]] = None,
@@ -406,7 +359,7 @@ class DBConnection(EnforceOverrides):

        Data is converted to Arrow before being written to disk. For maximum
        control over how data is saved, either provide the PyArrow schema to
-        convert to or else provide a [PyArrow Table][pyarrow.Table] directly.
+        convert to or else provide a [PyArrow Table](pyarrow.Table) directly.

        >>> import pyarrow as pa
        >>> custom_schema = pa.schema([
@@ -610,46 +563,6 @@ class DBConnection(EnforceOverrides):
        """
        raise NotImplementedError("serialize is not supported for this connection type")

-    def job(self, job_id: str) -> Job:
-        """A [Job][lancedb.job.Job] handle for a server-side job by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        raise NotImplementedError("job is not supported for this connection type")
-
-    def list_jobs(self) -> List[JobInfo]:
-        """List server-side jobs across the database's tables."""
-        raise NotImplementedError("list_jobs is not supported for this connection type")
-
-    def get_job(self, job_id: str) -> Optional[JobDescription]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        raise NotImplementedError("get_job is not supported for this connection type")
-
-    def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        raise NotImplementedError(
-            "cancel_job is not supported for this connection type"
-        )
-
-    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        raise NotImplementedError(
-            "job_history is not supported for this connection type"
-        )
-

 class LanceDBConnection(DBConnection):
    """
@@ -707,9 +620,6 @@ class LanceDBConnection(DBConnection):
        self._namespace_client_properties = namespace_client_properties
        if _inner is not None:
            self._conn = _inner
-            # Native-derived wrappers resolve this in their async reconstruction
-            # path so construction never synchronously re-enters LOOP.
-            self._read_consistency_interval = read_consistency_interval
            self._cached_namespace_client = None
            return

@@ -759,14 +669,11 @@ class LanceDBConnection(DBConnection):
        # storage_options.  Also, this class really shouldn't be holding any state
        # beyond _conn.
        self._conn = AsyncConnection(LOOP.run(do_connect()))
-        # Keep property access synchronous so debugger introspection cannot wait on
-        # the background loop while that thread is suspended at a breakpoint.
-        self._read_consistency_interval = read_consistency_interval
        self._cached_namespace_client: Optional[LanceNamespace] = None

    @property
    def read_consistency_interval(self) -> Optional[timedelta]:
-        return self._read_consistency_interval
+        return LOOP.run(self._conn.get_read_consistency_interval())

    @property
    def session(self) -> Optional[Session]:
@@ -777,19 +684,15 @@ class LanceDBConnection(DBConnection):
        return self._conn.uri

    @classmethod
-    def from_inner(
-        cls,
-        inner: LanceDbConnection,
-        read_consistency_interval: Optional[timedelta],
-    ):
-        return cls(
-            None,
-            read_consistency_interval=read_consistency_interval,
-            _inner=inner,
-        )
+    def from_inner(cls, inner: LanceDbConnection):
+        return cls(None, _inner=inner)

    def __repr__(self) -> str:
-        return f"{self.__class__.__name__}(uri={self._conn.uri!r})"
+        val = f"{self.__class__.__name__}(uri={self._conn.uri!r}"
+        if self.read_consistency_interval is not None:
+            val += f", read_consistency_interval={repr(self.read_consistency_interval)}"
+        val += ")"
+        return val

    @override
    def serialize(self) -> str:
@@ -1226,47 +1129,6 @@ class LanceDBConnection(DBConnection):
            )
        )

-    @override
-    def job(self, job_id: str) -> Job:
-        """A [Job][lancedb.job.Job] handle for a server-side job by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        return Job(self._conn.job(job_id))
-
-    @override
-    def list_jobs(self) -> List[JobInfo]:
-        """List server-side jobs across the database's tables."""
-        return LOOP.run(self._conn.list_jobs())
-
-    @override
-    def get_job(self, job_id: str) -> Optional[JobDescription]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        return LOOP.run(self._conn.get_job(job_id))
-
-    @override
-    def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        return LOOP.run(self._conn.cancel_job(job_id))
-
-    @override
-    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        return LOOP.run(self._conn.job_history(job_id))
-
    @override
    def namespace_client(self) -> LanceNamespace:
        """Get the equivalent namespace client for this connection.
@@ -1667,7 +1529,7 @@ class AsyncConnection(object):

        Data is converted to Arrow before being written to disk. For maximum
        control over how data is saved, either provide the PyArrow schema to
-        convert to or else provide a [PyArrow Table][pyarrow.Table] directly.
+        convert to or else provide a [PyArrow Table](pyarrow.Table) directly.

        >>> import pyarrow as pa
        >>> custom_schema = pa.schema([
@@ -1976,43 +1838,6 @@ class AsyncConnection(object):
            namespace_path = []
        await self._inner.drop_all_tables(namespace_path=namespace_path)

-    def job(self, job_id: str) -> AsyncJob:
-        """An [AsyncJob][lancedb.job.AsyncJob] handle for a server-side job
-        by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        return AsyncJob(self._inner.job(job_id))
-
-    async def list_jobs(self) -> List[JobInfo]:
-        """List server-side jobs across the database's tables."""
-        return await self._inner.list_jobs()
-
-    async def get_job(self, job_id: str) -> Optional[JobDescription]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        return await self._inner.get_job(job_id)
-
-    async def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        return await self._inner.cancel_job(job_id)
-
-    async def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        return await self._inner.job_history(job_id)
-
    async def namespace_client(self) -> LanceNamespace:
        """Get the equivalent namespace client for this connection.

@@ -21,32 +21,3 @@ from .watsonx import WatsonxEmbeddings
 from .voyageai import VoyageAIEmbeddingFunction
 from .colpali import ColPaliEmbeddings
 from .siglip import SigLipEmbeddings
-
-# The API reference renders this package with a single mkdocstrings directive,
-# which only picks up names listed here. New embedding functions must be added
-# to both the imports above and this list, or they will silently go undocumented.
-__all__ = [
-    "EmbeddingFunction",
-    "EmbeddingFunctionConfig",
-    "TextEmbeddingFunction",
-    "EmbeddingFunctionRegistry",
-    "get_registry",
-    "register",
-    "SentenceTransformerEmbeddings",
-    "OpenAIEmbeddings",
-    "OpenClipEmbeddings",
-    "BedRockText",
-    "CohereEmbeddingFunction",
-    "GeminiText",
-    "GteEmbeddings",
-    "InstructorEmbeddingFunction",
-    "JinaEmbeddings",
-    "OllamaEmbeddings",
-    "TransformersEmbeddingFunction",
-    "ColbertEmbeddings",
-    "VoyageAIEmbeddingFunction",
-    "WatsonxEmbeddings",
-    "ColPaliEmbeddings",
-    "ImageBindEmbeddings",
-    "SigLipEmbeddings",
-]
@@ -21,20 +21,20 @@ class BedRockText(TextEmbeddingFunction):
    """
    Parameters
    ----------
-    name : str, default "amazon.titan-embed-text-v1"
+    name: str, default "amazon.titan-embed-text-v1"
        The model ID of the bedrock model to use. Supported models for are:
        - amazon.titan-embed-text-v1
        - cohere.embed-english-v3
        - cohere.embed-multilingual-v3
-    region : str, default "us-east-1"
+    region: str, default "us-east-1"
        Optional name of the AWS Region in which the service should be called.
-    profile_name : str, default None
+    profile_name: str, default None
        Optional name of the AWS profile to use for calling the Bedrock service.
        If not specified, the default profile will be used.
-    assumed_role : str, default None
+    assumed_role: str, default None
        Optional ARN of an AWS IAM role to assume for calling the Bedrock service.
        If not specified, the current active credentials will be used.
-    role_session_name : str, default "lancedb-embeddings"
+    role_session_name: str, default "lancedb-embeddings"
        Optional name of the AWS IAM role session to use for calling the Bedrock
        service. If not specified, "lancedb-embeddings" name will be used.

@@ -22,7 +22,7 @@ class CohereEmbeddingFunction(TextEmbeddingFunction):

    Parameters
    ----------
-    name : str, default "embed-multilingual-v2.0"
+    name: str, default "embed-multilingual-v2.0"
        The name of the model to use. List of acceptable models:

            * embed-english-v3.0
@@ -33,14 +33,12 @@ class CohereEmbeddingFunction(TextEmbeddingFunction):
            * embed-english-light-v2.0
            * embed-multilingual-v2.0

-    source_input_type : str, default "search_document"
+    source_input_type: str, default "search_document"
        The input type for the source column in the database

-    query_input_type : str, default "search_query"
+    query_input_type: str, default "search_query"
        The input type for the query column in the database

-    Notes
-    -----
    Cohere supports following input types:

    | Input Type               | Description                          |
@@ -44,7 +44,7 @@ class ColPaliEmbeddings(EmbeddingFunction):
        The token pooling strategy to use, by default "hierarchical".
        - "hierarchical": Progressively pools tokens to reduce sequence length.
        - "lambda": A simpler pooling that uses a custom `pooling_func`.
-    pooling_func : typing.Callable, optional
+    pooling_func: typing.Callable, optional
        A function to use for pooling when `pooling_strategy` is "lambda".
    pool_factor : int
        Factor to reduce sequence length if token pooling is enabled (default 2).
@@ -52,7 +52,7 @@ class ColPaliEmbeddings(EmbeddingFunction):
        Quantization configuration for the model. (default None, bitsandbytes needed)
    batch_size : int
        Batch size for processing inputs (default 2).
-    offload_folder : str, optional
+    offload_folder: str, optional
        Folder to offload model weights if using CPU offloading (default None). This is
        useful for large models that do not fit in memory.
    """
@@ -48,16 +48,16 @@ class GeminiText(TextEmbeddingFunction):

    Parameters
    ----------
-    name : str, default "gemini-embedding-001"
+    name: str, default "gemini-embedding-001"
        The name of the model to use. Supported models include:
        - "gemini-embedding-001" (768 dimensions)

        Note: The legacy "models/embedding-001" format is also supported but
        "gemini-embedding-001" is recommended.

-    query_task_type : str, default "retrieval_query"
+    query_task_type: str, default "retrieval_query"
        Sets the task type for the queries.
-    source_task_type : str, default "retrieval_document"
+    source_task_type: str, default "retrieval_document"
        Sets the task type for ingestion.

    Examples
@@ -26,13 +26,13 @@ class GteEmbeddings(TextEmbeddingFunction):

    Parameters
    ----------
-    name : str, default "thenlper/gte-large"
+    name: str, default "thenlper/gte-large"
        The name of the model to use.
-    device : str, default "cpu"
+    device: str, default "cpu"
        Sets the device type for the model.
-    normalize : str, default "True"
+    normalize: str, default "True"
        Controls normalize param in encode function for the transformer.
-    mlx : bool, default False
+    mlx: bool, default False
        Controls which model to use. False for gte-large,True for the mlx version.

    Examples
@@ -35,23 +35,23 @@ class InstructorEmbeddingFunction(TextEmbeddingFunction):

    Parameters
    ----------
-    name : str
+    name: str
        The name of the model to use. Available models are listed at
        https://github.com/xlang-ai/instructor-embedding#model-list;
        The default model is hkunlp/instructor-base
-    batch_size : int, default 32
+    batch_size: int, default 32
        The batch size to use when generating embeddings
-    device : str, default "cpu"
+    device: str, default "cpu"
        The device to use when generating embeddings
-    show_progress_bar : bool, default True
+    show_progress_bar: bool, default True
        Whether to show a progress bar when generating embeddings
-    normalize_embeddings : bool, default True
+    normalize_embeddings: bool, default True
        Whether to normalize the embeddings
-    quantize : bool, default False
+    quantize: bool, default False
        Whether to quantize the model
-    source_instruction : str, default "represent the document for retrieval"
+    source_instruction: str, default "represent the document for retrieval"
        The instruction for the source column
-    query_instruction : str, default "represent the document for retrieving the most
+    query_instruction: str, default "represent the document for retrieving the most
        similar documents"
        The instruction for the query

@@ -101,7 +101,8 @@ class InstructorEmbeddingFunction(TextEmbeddingFunction):

    @weak_lru(maxsize=1)
    def ndims(self):
-        return len(self.generate_embeddings([[self.source_instruction, "foo"]])[0])
+        model = self.get_model()
+        return model.encode("foo").shape[0]

    def compute_query_embeddings(self, query: str, *args, **kwargs) -> List[np.array]:
        return self.generate_embeddings([[self.query_instruction, query]])
@@ -40,10 +40,10 @@ class JinaEmbeddings(EmbeddingFunction):

    Parameters
    ----------
-    name : str, default "jina-clip-v1". Note that some models support both image
+    name: str, default "jina-clip-v1". Note that some models support both image
        and text embeddings and some just text embedding

-    api_key : str, default None
+    api_key: str, default None
        The api key to access Jina API. If you pass None, you can set JINA_API_KEY
        environment variable

@@ -87,13 +87,12 @@ class JinaEmbeddings(EmbeddingFunction):
        if isinstance(image, bytes):
            image_dict = {"image": base64.b64encode(image).decode("utf-8")}
        elif isinstance(image, (str, Path)):
-            parsed = urlparse(str(image))
+            parsed = urlparse.urlparse(image)
+            # TODO handle drive letter on windows.
            PIL_Image = attempt_import_or_raise("PIL.Image", "pillow")
            if parsed.scheme == "file":
                pil_image = PIL_Image.open(parsed.path)
-            elif parsed.scheme == "" or (os.name == "nt" and len(parsed.scheme) == 1):
-                # A Windows drive letter parses as a one-character scheme
-                # ("C:\\img.png" -> scheme="c"), so treat it as a local path.
+            elif parsed.scheme == "":
                pil_image = PIL_Image.open(image if os.name == "nt" else parsed.path)
            elif parsed.scheme.startswith("http"):
                pil_image = PIL_Image.open(io.BytesIO(url_retrieve(image)))
@@ -21,13 +21,13 @@ class SentenceTransformerEmbeddings(TextEmbeddingFunction):

    Parameters
    ----------
-    name : str, default "all-MiniLM-L6-v2"
+    name: str, default "all-MiniLM-L6-v2"
        The name of the model to use.
-    device : str, default "cpu"
+    device: str, default "cpu"
        The device to use for the model
-    normalize : bool, default True
+    normalize: bool, default True
        Whether to normalize the embeddings
-    trust_remote_code : bool, default True
+    trust_remote_code: bool, default True
        Whether to trust the remote code
    """

@@ -167,7 +167,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):

    Parameters
    ----------
-    name : str
+    name: str
        The name of the model to use. List of acceptable models:

            * voyage-4 (1024 dims, general-purpose and multilingual retrieval)
@@ -185,7 +185,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
            * voyage-law-2
            * voyage-code-2

-    output_dimension : int, optional
+    output_dimension: int, optional
        The output dimension for models that support flexible dimensions.
        Currently only voyage-multimodal-3.5 supports this feature.
        Valid options: 256, 512, 1024 (default), 2048.
@@ -23,15 +23,3 @@ class MissingColumnError(KeyError):
        return (
            f"Error: Column '{self.column_name}' does not exist in the DataFrame object"
        )
-
-
-class JobFailedError(RuntimeError):
-    """Exception raised when an asynchronous job reaches the failed state."""
-
-    pass
-
-
-class JobCancelledError(RuntimeError):
-    """Exception raised when an asynchronous job was cancelled."""
-
-    pass
@@ -2,7 +2,7 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors

 from dataclasses import dataclass
-from typing import List, Literal, Optional
+from typing import Literal, Optional

 from ._lancedb import (
    IndexConfig,
@@ -151,11 +151,6 @@ class FTS:
    remove_stop_words : bool, default True
        Whether to remove stop words. Stop words are common words that are often
        removed from text before indexing. For example, in English "the" and "and".
-    custom_stop_words : list of str, optional
-        Custom words replace the built-in language stop words
-        and only take effect when ``remove_stop_words`` is True. ``None`` uses
-        the built-in language list, while an empty list explicitly uses no
-        stop words.
    ascii_folding : bool, default True
        Whether to fold ASCII characters. This converts accented characters to
        their ASCII equivalent. For example, "café" would be converted to "cafe".
@@ -184,7 +179,6 @@ class FTS:
    ngram_max_length: int = 3
    prefix_only: bool = False
    block_size: int = 128
-    custom_stop_words: Optional[List[str]] = None


@dataclass
@@ -219,7 +213,7 @@ class HnswPq:
        distance has a range of (-∞, ∞). If the vectors are normalized (i.e. their
        l2 norm is 1), then dot distance is equivalent to the cosine distance.

-    num_partitions: int, default sqrt(num_rows)
+    num_partitions, default sqrt(num_rows)

        The number of IVF partitions to create.

@@ -228,7 +222,7 @@ class HnswPq:
        will require too much memory. Each partition becomes its own HNSW graph, so
        setting this value higher reduces the peak memory use of training.

-    num_sub_vectors: int, default is vector dimension / 16
+    num_sub_vectors, default is vector dimension / 16

        Number of sub-vectors of PQ.

@@ -244,13 +238,13 @@ class HnswPq:
        If the dimension is not visible by 8 then we use 1 subvector.  This is not
        ideal and will likely result in poor performance.

-    num_bits: int, default 8
+     num_bits: int, default 8
        Number of bits to encode each sub-vector.

        This value controls how much the sub-vectors are compressed.  The more bits
        the more accurate the index but the slower search. Only 4 and 8 are supported.

-    max_iterations: int, default 50
+    max_iterations, default 50

        Max iterations to train kmeans.

@@ -263,7 +257,7 @@ class HnswPq:
        those cases it is unlikely that setting this larger will lead to the index
        converging anyways.

-    sample_rate: int, default 256
+    sample_rate, default 256

        The rate used to calculate the number of training vectors for kmeans.

@@ -279,14 +273,14 @@ class HnswPq:
        Increasing this value might improve the quality of the index but in
        most cases the default should be sufficient.

-    m: int, default 20
+    m, default 20

        The number of neighbors to select for each vector in the HNSW graph.

        This value controls the tradeoff between search speed and accuracy.
        The higher the value the more accurate the search but the slower it will be.

-    ef_construction: int, default 300
+    ef_construction, default 300

        The number of candidates to evaluate during the construction of the HNSW graph.

@@ -297,7 +291,7 @@ class HnswPq:
        This value should be set to a value that is not less than `ef` in the
        search phase.

-    target_partition_size: int, default is 1,048,576
+    target_partition_size, default is 1,048,576

        The target size of each partition.

@@ -351,7 +345,7 @@ class HnswSq:
        distance has a range of (-∞, ∞). If the vectors are normalized (i.e. their
        l2 norm is 1), then dot distance is equivalent to the cosine distance.

-    num_partitions: int, default sqrt(num_rows)
+    num_partitions, default sqrt(num_rows)

        The number of IVF partitions to create.

@@ -360,7 +354,7 @@ class HnswSq:
        will require too much memory. Each partition becomes its own HNSW graph, so
        setting this value higher reduces the peak memory use of training.

-    max_iterations: int, default 50
+    max_iterations, default 50

        Max iterations to train kmeans.

@@ -373,7 +367,7 @@ class HnswSq:
        In those cases it is unlikely that setting this larger will lead to
        the index converging anyways.

-    sample_rate: int, default 256
+    sample_rate, default 256

        The rate used to calculate the number of training vectors for kmeans.

@@ -389,14 +383,14 @@ class HnswSq:
        Increasing this value might improve the quality of the index but in
        most cases the default should be sufficient.

-    m: int, default 20
+    m, default 20

        The number of neighbors to select for each vector in the HNSW graph.

        This value controls the tradeoff between search speed and accuracy.
        The higher the value the more accurate the search but the slower it will be.

-    ef_construction: int, default 300
+    ef_construction, default 300

        The number of candidates to evaluate during the construction of the HNSW graph.

@@ -407,7 +401,7 @@ class HnswSq:
        This value should be set to a value that is not less than `ef` in the search
        phase.

-    target_partition_size: int, default is 1,048,576
+    target_partition_size, default is 1,048,576

        The target size of each partition.

@@ -460,7 +454,7 @@ class HnswFlat:
        distance has a range of (-∞, ∞). If the vectors are normalized (i.e. their
        l2 norm is 1), then dot distance is equivalent to the cosine distance.

-    num_partitions: int, default sqrt(num_rows)
+    num_partitions, default sqrt(num_rows)

        The number of IVF partitions to create.

@@ -470,18 +464,18 @@ class HnswFlat:
        graph, so setting this value higher reduces the peak memory use of
        training.

-    max_iterations: int, default 50
+    max_iterations, default 50

        Max iterations to train kmeans.

        When training an IVF index we use kmeans to calculate the partitions.
        This parameter controls how many iterations of kmeans to run.

-    sample_rate: int, default 256
+    sample_rate, default 256

        The rate used to calculate the number of training vectors for kmeans.

-    m: int, default 20
+    m, default 20

        The number of neighbors to select for each vector in the HNSW graph.

@@ -489,7 +483,7 @@ class HnswFlat:
        The higher the value the more accurate the search but the slower it
        will be.

-    ef_construction: int, default 300
+    ef_construction, default 300

        The number of candidates to evaluate during the construction of the HNSW
        graph.
@@ -501,7 +495,7 @@ class HnswFlat:
        than 500.  This value should be set to a value that is not less than `ef`
        in the search phase.

-    target_partition_size: int, default is 1,048,576
+    target_partition_size, default is 1,048,576

        The target size of each partition.
    """
@@ -605,7 +599,7 @@ class IvfFlat:

        The default value is 256.

-    target_partition_size: int, default is 8192
+    target_partition_size, default is 8192

        The target size of each partition.

@@ -769,7 +763,7 @@ class IvfPq:

        The default value is 256.

-    target_partition_size: int, default is 8192
+    target_partition_size, default is 8192

        The target size of each partition.

@@ -830,7 +824,7 @@ class IvfRq:
    sample_rate: int, default 256
        Controls the number of training vectors: sample_rate * num_partitions.

-    target_partition_size: int, default is 8192
+    target_partition_size, default is 8192
        Target size of each partition.
    """

@@ -845,9 +839,6 @@ class IvfRq:
    accelerator: Optional[str] = None


-# The API reference renders this module with a single mkdocstrings directive,
-# which only picks up names listed here. New public names must be added to this
-# list, or they will silently go undocumented.
 __all__ = [
    "BTree",
    "IvfPq",
@@ -1,105 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-"""Handles to operations a server may run asynchronously."""
-
-import asyncio
-from datetime import timedelta
-from typing import Optional
-
-from lancedb.background_loop import LOOP
-
-from . import _lancedb
-
-
-class AsyncJob:
-    """A handle to an operation that may still be running.
-
-    The operation may already be complete when the handle is created.
-    """
-
-    def __init__(self, inner: Optional["_lancedb.Job"]):
-        self._inner = inner
-
-    @property
-    def id(self) -> Optional[str]:
-        """Identifies the operation on the server that is running it.
-
-        Returned for correlating with server logs or the jobs API. Operations
-        that run in this process have no server id and return `None`. The value
-        is opaque: parsing it or storing it to resume the job later is not
-        supported.
-        """
-        return self._inner.id if self._inner is not None else None
-
-    async def status(self) -> str:
-        """The operation's current lifecycle state: "running", "finished",
-        "failed", or "cancelled".
-
-        A point snapshot; unlike `wait` it does not block or raise on a
-        terminal failure state. States a newer server reports that this
-        client version does not know pass through as-is.
-        """
-        if self._inner is None:
-            return "finished"
-        return await self._inner.status()
-
-    async def wait(self, timeout: Optional[timedelta] = None):
-        """Wait until the operation reaches a terminal state.
-
-        Raises `JobFailedError` if the operation failed, `JobCancelledError`
-        if it was cancelled, and `TimeoutError` if `timeout` elapses first.
-        """
-        if self._inner is None:
-            return
-        if timeout is None:
-            await self._inner.wait()
-        else:
-            await asyncio.wait_for(self._inner.wait(), timeout.total_seconds())
-
-    async def cancel(self):
-        """Request cancellation. Cancelling a finished operation is a no-op."""
-        if self._inner is None:
-            return
-        await self._inner.cancel()
-
-
-class Job:
-    """Synchronous counterpart of `AsyncJob`."""
-
-    def __init__(self, inner: Optional[AsyncJob]):
-        self._inner = inner
-
-    @property
-    def id(self) -> Optional[str]:
-        """Identifies the operation on the server that is running it.
-
-        See :attr:`AsyncJob.id`.
-        """
-        return self._inner.id if self._inner is not None else None
-
-    def status(self) -> str:
-        """The operation's current lifecycle state: "running", "finished",
-        "failed", or "cancelled".
-
-        See :meth:`AsyncJob.status`.
-        """
-        if self._inner is None:
-            return "finished"
-        return LOOP.run(self._inner.status())
-
-    def wait(self, timeout: Optional[timedelta] = None):
-        """Block until the operation reaches a terminal state.
-
-        Raises `JobFailedError` if the operation failed, `JobCancelledError`
-        if it was cancelled, and `TimeoutError` if `timeout` elapses first.
-        """
-        if self._inner is None:
-            return
-        LOOP.run(self._inner.wait(timeout))
-
-    def cancel(self):
-        """Request cancellation. Cancelling a finished operation is a no-op."""
-        if self._inner is None:
-            return
-        LOOP.run(self._inner.cancel())
@@ -92,10 +92,8 @@ class LanceMergeInsertBuilder(object):
        self._when_not_matched_by_source_delete = True
        if isinstance(condition, Expr):
            self._when_not_matched_by_source_condition_expr = condition._inner
-            self._when_not_matched_by_source_condition = None
-        else:
+        elif condition is not None:
            self._when_not_matched_by_source_condition = condition
-            self._when_not_matched_by_source_condition_expr = None
        return self

    def use_index(self, use_index: bool) -> LanceMergeInsertBuilder:
@@ -38,11 +38,7 @@ from lance_namespace_urllib3_client.models.query_table_request_vector import (
    QueryTableRequestVector,
 )
 from lance_namespace_urllib3_client.models.string_fts_query import StringFtsQuery
-from lance_namespace.errors import (
-    NamespaceNotEmptyError,
-    NamespaceNotFoundError,
-    TableNotFoundError,
-)
+from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError
 from lancedb._lancedb import (
    connect_namespace as _connect_namespace,
    connect_namespace_client as _connect_namespace_client,
@@ -57,8 +53,6 @@ from lance_namespace import (
    DropNamespaceResponse,
    ListNamespacesResponse,
    ListTablesResponse,
-    NamespaceExistsRequest,
-    TableExistsRequest,
 )
 from lancedb.table import AsyncTable, LanceTable, Table
 from lancedb.util import validate_table_name
@@ -786,51 +780,6 @@ class LanceNamespaceDBConnection(DBConnection):
        """
        return LOOP.run(self._inner.describe_namespace(namespace_path))

-    @override
-    def namespace_exists(self, namespace_id: List[str]) -> bool:
-        """
-        Check if a namespace exists.
-
-        Parameters
-        ----------
-        namespace_id : List[str]
-            The namespace identifier to check.
-
-        Returns
-        -------
-        bool
-            True if the namespace exists, False otherwise.
-        """
-        request = NamespaceExistsRequest(id=namespace_id)
-        try:
-            self._namespace_client.namespace_exists(request)
-            return True
-        except NamespaceNotFoundError:
-            return False
-
-    @override
-    def table_exists(self, table_id: List[str]) -> bool:
-        """
-        Check if a table exists.
-
-        Parameters
-        ----------
-        table_id : List[str]
-            The table identifier to check (full path including namespace
-            segments and table name).
-
-        Returns
-        -------
-        bool
-            True if the table exists, False otherwise.
-        """
-        request = TableExistsRequest(id=table_id)
-        try:
-            self._namespace_client.table_exists(request)
-            return True
-        except TableNotFoundError:
-            return False
-
    @override
    def list_tables(
        self,
@@ -1284,49 +1233,6 @@ class AsyncLanceNamespaceDBConnection:
        """
        return await self._inner.describe_namespace(namespace_path)

-    async def namespace_exists(self, namespace_id: List[str]) -> bool:
-        """
-        Check if a namespace exists.
-
-        Parameters
-        ----------
-        namespace_id : List[str]
-            The namespace identifier to check.
-
-        Returns
-        -------
-        bool
-            True if the namespace exists, False otherwise.
-        """
-        request = NamespaceExistsRequest(id=namespace_id)
-        try:
-            self._namespace_client.namespace_exists(request)
-            return True
-        except NamespaceNotFoundError:
-            return False
-
-    async def table_exists(self, table_id: List[str]) -> bool:
-        """
-        Check if a table exists.
-
-        Parameters
-        ----------
-        table_id : List[str]
-            The table identifier to check (full path including namespace
-            segments and table name).
-
-        Returns
-        -------
-        bool
-            True if the table exists, False otherwise.
-        """
-        request = TableExistsRequest(id=table_id)
-        try:
-            self._namespace_client.table_exists(request)
-            return True
-        except TableNotFoundError:
-            return False
-
    async def list_tables(
        self,
        namespace_path: Optional[List[str]] = None,
@@ -226,7 +226,7 @@ class PermutationBuilder:

        async def do_execute():
            inner_tbl = await self._async.execute()
-            return await LanceTable.from_inner(inner_tbl)
+            return LanceTable.from_inner(inner_tbl)

        return LOOP.run(do_execute())

@@ -438,8 +438,7 @@ class Permutation:
        _reader: Optional[PermutationReader] = None,
    ):
        """
-        Internal constructor.  Use
-        [from_tables][lancedb.permutation.Permutation.from_tables] instead.
+        Internal constructor.  Use [from_tables](#from_tables) instead.
        """
        assert base_table is not None, "base_table is required"
        assert selection is not None, "selection is required"
@@ -986,9 +985,8 @@ class Permutation:
        types.  Conversion of strings, lists, and structs will require creating python
        objects and this is not zero-copy.

-        For custom formatting, use
-        [with_transform][lancedb.permutation.Permutation.with_transform] which
-        overrides this method.
+        For custom formatting, use [with_transform](#with_transform) which overrides
+        this method.
        """
        assert format is not None, "format is required"
        if format == "python":
@@ -1063,8 +1061,7 @@ class Permutation:
        Note: this method returns a new permutation and does not modify `self`
        It is provided for compatibility with the huggingface Dataset API.

-        Use [with_skip][lancedb.permutation.Permutation.with_skip] instead to
-        avoid confusion.
+        Use [with_skip](#with_skip) instead to avoid confusion.
        """
        return self.with_skip(skip)

@@ -1087,8 +1084,7 @@ class Permutation:
        Note: this method returns a new permutation and does not modify `self`
        It is provided for compatibility with the huggingface Dataset API.

-        Use [with_take][lancedb.permutation.Permutation.with_take] instead to
-        avoid confusion.
+        Use [with_take](#with_take) instead to avoid confusion.
        """
        return self.with_take(limit)

@@ -1111,8 +1107,7 @@ class Permutation:
        Note: this method returns a new permutation and does not modify `self`
        It is provided for compatibility with the huggingface Dataset API.

-        Use [with_repeat][lancedb.permutation.Permutation.with_repeat] instead
-        to avoid confusion.
+        Use [with_repeat](#with_repeat) instead to avoid confusion.
        """
        return self.with_repeat(times)

@@ -1 +0,0 @@
-
@@ -153,16 +153,6 @@ def Vector(
    return FixedSizeList


-def _raise_bare_vector_error(*_args):
-    raise TypeError("Vector must be parameterized with a dimension, e.g. Vector(128).")
-
-
-# Pydantic v1 and v2 otherwise treat the bare Vector factory as a field validator
-# and inspect its signature, which produces misleading errors about internal types.
-setattr(Vector, "__get_validators__", _raise_bare_vector_error)
-setattr(Vector, "__get_pydantic_core_schema__", _raise_bare_vector_error)
-
-
 def MultiVector(
    dim: int, value_type: pa.DataType = pa.float32(), nullable: bool = True
 ) -> Type:
@@ -52,6 +52,7 @@ from ._blob import (
    finalize_blob_query_table,
    replace_v2_blob_columns_with_bytes,
    replace_v2_blob_columns_with_bytes_sync,
+    supports_blob_auto_row_id,
    validate_blob_mode,
 )
 from .types import BlobMode, QueryProjection
@@ -650,8 +651,7 @@ class Query(pydantic.BaseModel):
    distance_type : Optional[str]
        the distance type to use for vector search

-        This can be l2 (default), cosine and dot.  See
-        [metric definitions](https://lancedb.com/docs/search/vector-search/) for
+        This can be l2 (default), cosine and dot.  See [metric definitions][search] for
        more details.

        If this is not a vector search this will be None.
@@ -664,9 +664,8 @@ class Query(pydantic.BaseModel):

        - A higher number makes search more accurate but also slower.

-        - See discussion in
-          [Querying an ANN Index](https://lancedb.com/docs/indexing/)
-          for tuning advice.
+        - See discussion in [Querying an ANN Index][querying-an-ann-index] for
+          tuning advice.

        Will be None if this is not a vector search.
    refine_factor : Optional[int]
@@ -674,9 +673,8 @@ class Query(pydantic.BaseModel):

        - A higher number makes search more accurate but also slower.

-        - See discussion in
-          [Querying an ANN Index](https://lancedb.com/docs/indexing/)
-          for tuning advice.
+        - See discussion in [Querying an ANN Index][querying-an-ann-index] for
+          tuning advice.

        Will be None if this is not a vector search.
    lower_bound : Optional[float]
@@ -1279,7 +1277,10 @@ class LanceQueryBuilder(ABC):
        return self._with_row_id is True

    def _blob_auto_row_id_enabled(self) -> bool:
+        if not supports_blob_auto_row_id(self._table):
+            return False
        return blob_auto_row_id_for_scan(
+            self._table,
            self._table.schema,
            self._columns,
            with_row_id=self._with_row_id,
@@ -1650,8 +1651,8 @@ class LanceVectorQueryBuilder(LanceQueryBuilder):
        Higher values will yield better recall (more likely to find vectors if
        they exist) at the expense of latency.

-        See discussion in [Querying an ANN Index](https://lancedb.com/docs/indexing/)
-        for tuning advice.
+        See discussion in [Querying an ANN Index][querying-an-ann-index] for
+        tuning advice.

        This method sets both the minimum and maximum number of probes to the same
        value. See `minimum_nprobes` and `maximum_nprobes` for more fine-grained
@@ -1751,8 +1752,8 @@ class LanceVectorQueryBuilder(LanceQueryBuilder):
        As an example, a refine factor of 2 will sample 2x as many vectors as
        requested, re-ranks them, and returns the top half most relevant results.

-        See discussion in [Querying an ANN Index](https://lancedb.com/docs/indexing/)
-        for tuning advice.
+        See discussion in [Querying an ANN Index][querying-an-ann-index] for
+        tuning advice.

        Parameters
        ----------
@@ -2697,7 +2698,7 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
            self._fts_query.phrase_query(True)
        if self._distance_type:
            self._vector_query.metric(self._distance_type)
-        if self._minimum_nprobes is not None:
+        if self._minimum_nprobes:
            self._vector_query.minimum_nprobes(self._minimum_nprobes)
        if self._maximum_nprobes is not None:
            self._vector_query.maximum_nprobes(self._maximum_nprobes)
@@ -2770,7 +2771,7 @@ class AsyncQueryBase(object):
        )

    async def _maybe_add_blob_row_id(self) -> None:
-        if self._table is None:
+        if self._table is None or not supports_blob_auto_row_id(self._table):
            self._blob_auto_row_id = False
            self._blob_paths = ()
            return
@@ -2778,6 +2779,7 @@ class AsyncQueryBase(object):
        req = self._inner.to_query_request()
        schema = await self._table.schema()
        self._blob_auto_row_id = blob_auto_row_id_for_scan(
+            self._table,
            schema,
            req.select,
            with_row_id=self._with_row_id,
@@ -3029,6 +3031,7 @@ class AsyncQueryBase(object):

        schema = await self._table.schema()
        blob_auto_row_id = blob_auto_row_id_for_scan(
+            self._table,
            schema,
            query.columns,
            with_row_id=self._with_row_id,
@@ -3376,9 +3379,8 @@ class AsyncQuery(AsyncStandardQuery):
        are various ANN search parameters that will let you fine tune your recall
        accuracy vs search latency.

-        Vector searches always have a
-        [limit][lancedb.query.AsyncVectorQuery.limit].  If `limit` has not been
-        called then a default `limit` of 10 will be used.
+        Vector searches always have a [limit][].  If `limit` has not been called then
+        a default `limit` of 10 will be used.

        Typically, a single vector is passed in as the query. However, you can also
        pass in multiple vectors. When multiple vectors are passed in, if the vector
@@ -3509,9 +3511,8 @@ class AsyncFTSQuery(AsyncStandardQuery):
        are various ANN search parameters that will let you fine tune your recall
        accuracy vs search latency.

-        Hybrid searches always have a
-        [limit][lancedb.query.AsyncHybridQuery.limit].  If `limit` has not been
-        called then a default `limit` of 10 will be used.
+        Hybrid searches always have a [limit][].  If `limit` has not been called then
+        a default `limit` of 10 will be used.

        Typically, a single vector is passed in as the query. However, you can also
        pass in multiple vectors.  This can be useful if you want to find the nearest
@@ -3874,9 +3875,10 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        req = fts_query._inner.to_query_request()
        blob_auto_row_id = False
        blob_paths: tuple[str, ...] = ()
-        if self._table is not None:
+        if self._table is not None and supports_blob_auto_row_id(self._table):
            schema = await self._table.schema()
            blob_auto_row_id = blob_auto_row_id_for_scan(
+                self._table,
                schema,
                req.select,
                with_row_id=self._with_row_id,
@@ -11,9 +11,6 @@ from lancedb import __version__
 from .header import HeaderProvider
 from .oauth import OAuthConfig, OAuthFlowType

-# The API reference renders this module with a single mkdocstrings directive,
-# which only picks up names listed here. New public names must be added to this
-# list, or they will silently go undocumented.
 __all__ = [
    "TimeoutConfig",
    "RetryConfig",
@@ -7,7 +7,7 @@ import json
 import logging
 from concurrent.futures import ThreadPoolExecutor
 import sys
-from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
+from typing import Any, Dict, Iterable, List, Optional, Union
 from urllib.parse import urlparse
 import warnings

@@ -23,10 +23,6 @@ import pyarrow as pa

 from ..common import DATA
 from ..db import DBConnection, LOOP
-from ..job import Job
-
-if TYPE_CHECKING:
-    from .._lancedb import JobDescription, JobInfo
 from ..embeddings import EmbeddingFunctionConfig
 from lance_namespace import (
    LanceNamespace,
@@ -419,11 +415,6 @@ class RemoteDBConnection(DBConnection):

        if namespace_path is None:
            namespace_path = []
-        if storage_options is not None:
-            logging.info(
-                "storage_options is ignored in LanceDb Cloud"
-                " (storage is managed; set storage_options on connect() instead)"
-            )
        if index_cache_size is not None:
            logging.info(
                "index_cache_size is ignored in LanceDb Cloud"
@@ -693,47 +684,6 @@ class RemoteDBConnection(DBConnection):
            )
        )

-    @override
-    def job(self, job_id: str) -> Job:
-        """A [Job][lancedb.job.Job] handle for a server-side job by id.
-
-        The handle is constructed without a server round trip; an unknown id
-        surfaces when the handle is used. Dropping the handle has no effect
-        on the job itself.
-        """
-        return Job(self._conn.job(job_id))
-
-    @override
-    def list_jobs(self) -> List["JobInfo"]:
-        """List server-side jobs across the database's tables."""
-        return LOOP.run(self._conn.list_jobs())
-
-    @override
-    def get_job(self, job_id: str) -> Optional["JobDescription"]:
-        """Describe a single server-side job by id.
-
-        Returns None when the server has no such job.
-        """
-        return LOOP.run(self._conn.get_job(job_id))
-
-    @override
-    def cancel_job(self, job_id: str) -> bool:
-        """Request cancellation of a server-side job by id.
-
-        Returns True if the server accepted the cancellation, False if no
-        such job exists. Cancelling an already-terminal job is a no-op
-        success.
-        """
-        return LOOP.run(self._conn.cancel_job(job_id))
-
-    @override
-    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
-        """The lifecycle event history of a server-side job, as Arrow batches.
-
-        Lists history across all jobs when `job_id` is None.
-        """
-        return LOOP.run(self._conn.job_history(job_id))
-
    @override
    def namespace_client(self) -> LanceNamespace:
        """Get the equivalent namespace client for this connection.
@@ -53,9 +53,9 @@ class RetryError(LanceDBClientError):
    """An error that occurs when the client has exceeded the maximum number of retries.

    The retry strategy can be adjusted by setting the
-    [retry_config][lancedb.remote.ClientConfig.retry_config] in the client
+    [retry_config](lancedb.remote.ClientConfig.retry_config) in the client
    configuration. This is passed in the `client_config` argument of
-    [connect][lancedb.connect] and [connect_async][lancedb.connect_async].
+    [connect](lancedb.connect) and [connect_async](lancedb.connect_async).

    The __cause__ attribute of this exception will be the last exception that
    caused the retry to fail. It will be an
@@ -20,7 +20,6 @@ from typing import (
 import warnings

 from lancedb import __version__
-from lancedb._blob import BlobFile

 from lancedb._lancedb import (
    AddColumnsResult,
@@ -48,7 +47,6 @@ from lancedb.index import (
    IvfSq,
    LabelList,
 )
-from lancedb.job import Job
 from lancedb.remote.db import LOOP
 from lancedb.table import IndexConfigType, KNOWN_METRICS
 import pyarrow as pa
@@ -342,7 +340,6 @@ class RemoteTable(Table):
        lower_case: bool = True,
        stem: bool = True,
        remove_stop_words: bool = True,
-        custom_stop_words: Optional[List[str]] = None,
        ascii_folding: bool = True,
        ngram_min_length: int = 3,
        ngram_max_length: int = 3,
@@ -364,7 +361,6 @@ class RemoteTable(Table):
            lower_case=lower_case,
            stem=stem,
            remove_stop_words=remove_stop_words,
-            custom_stop_words=custom_stop_words,
            ascii_folding=ascii_folding,
            ngram_min_length=ngram_min_length,
            ngram_max_length=ngram_max_length,
@@ -542,34 +538,6 @@ class RemoteTable(Table):
            )
        )

-    def create_index_async(
-        self,
-        column: str,
-        *,
-        config: IndexConfigType,
-        replace: Optional[bool] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> Job:
-        """Create an index, returning a handle to the indexing job.
-
-        The job may already be complete when returned; callers must not assume
-        the index exists until :meth:`Job.wait` returns.
-        """
-        return Job(
-            LOOP.run(
-                self._table.create_index_async(
-                    column,
-                    replace=replace,
-                    config=config,
-                    wait_timeout=wait_timeout,
-                    name=name,
-                    train=train,
-                )
-            )
-        )
-
    def _is_legacy_create_index_call(
        self,
        first_arg: str,
@@ -610,9 +578,8 @@ class RemoteTable(Table):
        progress: Optional[Union[bool, Callable, Any]] = None,
        write_parallelism: Optional[int] = None,
    ) -> AddResult:
-        """Add more data to the [Table][lancedb.table.Table].
-
-        It has the same API signature as the OSS version.
+        """Add more data to the [Table](Table). It has the same API signature as
+        the OSS version.

        Parameters
        ----------
@@ -672,8 +639,7 @@ class RemoteTable(Table):
        fast_search: bool = False,
    ) -> LanceVectorQueryBuilder:
        """Create a search query to find the nearest neighbors
-        of the given query vector. We currently support
-        [vector search](https://lancedb.com/docs/search/vector-search/)
+        of the given query vector. We currently support [vector search][search]

        All query options are defined in
        [LanceVectorQueryBuilder][lancedb.query.LanceVectorQueryBuilder].
@@ -1069,22 +1035,22 @@ class RemoteTable(Table):
        )

    def blob_columns(self) -> list[str]:
-        return LOOP.run(self._table.blob_columns())
+        raise NotImplementedError(
+            "blob_columns() is not yet supported on the LanceDB Cloud"
+        )

-    def fetch_blobs(
-        self, column: str, row_ids: Union[list[int], pa.Table]
-    ) -> pa.LargeBinaryArray:
-        return LOOP.run(self._table.fetch_blobs(column, row_ids))
+    def fetch_blobs(self, column: str, row_ids) -> pa.LargeBinaryArray:
+        raise NotImplementedError("fetch_blobs() is not supported on LanceDB Cloud")

    def fetch_blob_ranges(self, column: str, requests) -> pa.LargeBinaryArray:
        raise NotImplementedError(
            "fetch_blob_ranges() is not supported on LanceDB Cloud"
        )

-    def fetch_blob_files(
-        self, column: str, row_ids: Union[list[int], pa.Table]
-    ) -> "list[Optional[BlobFile]]":
-        return LOOP.run(self._table.fetch_blob_files(column, row_ids))
+    def fetch_blob_files(self, column: str, row_ids):
+        raise NotImplementedError(
+            "fetch_blob_files() is not supported on LanceDB Cloud"
+        )

    def head(self, n=5) -> pa.Table:
        """
@@ -14,9 +14,6 @@ from .answerdotai import AnswerdotaiRerankers
 from .voyageai import VoyageAIReranker
 from .watsonx import WatsonxReranker

-# The API reference renders this module with a single mkdocstrings directive,
-# which only picks up names listed here. New public names must be added to this
-# list, or they will silently go undocumented.
 __all__ = [
    "Reranker",
    "CrossEncoderReranker",
@@ -40,7 +40,6 @@ from ._blob import (
 from .types import BlobMode
 from lancedb.arrow import peek_reader
 from lancedb.background_loop import LOOP, embedding_executor
-from lancedb.job import AsyncJob, Job
 from .dependencies import (
    _check_for_hugging_face,
    _check_for_lance,
@@ -108,11 +107,6 @@ def _should_push_down_query_table(
    return namespace_client is not None and "QueryTable" in pushdown_operations


-def _polars_predicate_pushdown_barrier(frame: Any) -> Any:
-    """Return a Polars frame unchanged while blocking predicate pushdown."""
-    return frame
-
-
 _MODEL_BACKED_TOKENIZER_PREFIXES = ("jieba", "lindera")
 _MODEL_BACKED_TOKENIZER_ERRORS = (
    "unknown base tokenizer",
@@ -869,18 +863,12 @@ class Table(ABC):
        """
        raise NotImplementedError

-    def to_polars(self, **kwargs) -> "pl.LazyFrame":
-        """Return the table as a Polars LazyFrame.
-
-        Note
-        ----
-        The Polars streaming engine is not supported because it does not currently
-        implement Python PyArrow dataset scans. Use the default engine when collecting
-        this LazyFrame.
+    def to_polars(self, **kwargs) -> "pl.DataFrame":
+        """Return the table as a polars.DataFrame.

        Returns
        -------
-        polars.LazyFrame
+        polars.DataFrame
        """
        raise NotImplementedError

@@ -989,24 +977,6 @@ class Table(ABC):
        """
        raise NotImplementedError

-    def create_index_async(
-        self,
-        column: str,
-        *,
-        config: IndexConfigType,
-        replace: Optional[bool] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> Job:
-        """Create an index, returning a handle to the indexing job.
-
-        Takes the same arguments as :meth:`create_index`. The job may already
-        be complete when returned; callers must not assume the index exists
-        until :meth:`Job.wait` returns.
-        """
-        raise NotImplementedError
-
    def drop_index(self, name: str) -> None:
        """
        Drop an index from the table.
@@ -1133,7 +1103,6 @@ class Table(ABC):
        lower_case: bool = True,
        stem: bool = True,
        remove_stop_words: bool = True,
-        custom_stop_words: Optional[List[str]] = None,
        ascii_folding: bool = True,
        ngram_min_length: int = 3,
        ngram_max_length: int = 3,
@@ -1201,9 +1170,6 @@ class Table(ABC):
        remove_stop_words : bool, default True
            Whether to remove stop words. Stop words are common words that are often
            removed from text before indexing. For example, in English "the" and "and".
-        custom_stop_words : list of str, optional
-            Custom words that replace the built-in language stop words. ``None``
-            uses the built-in list; an empty list explicitly uses no stop words.
        ascii_folding : bool, default True
            Whether to fold ASCII characters. This converts accented characters to
            their ASCII equivalent. For example, "café" would be converted to "cafe".
@@ -1241,7 +1207,7 @@ class Table(ABC):
        progress: Optional[Union[bool, Callable, Any]] = None,
        write_parallelism: Optional[int] = None,
    ) -> AddResult:
-        """Add more data to the [Table][lancedb.table.Table].
+        """Add more data to the [Table](Table).

        Parameters
        ----------
@@ -1373,8 +1339,8 @@ class Table(ABC):
        fts_columns: Optional[Union[str, List[str]]] = None,
    ) -> LanceQueryBuilder:
        """Create a search query to find the nearest neighbors
-        of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/)
-        and [full-text search](https://lancedb.com/docs/search/full-text-search/).
+        of the given query vector. We currently support [vector search][search]
+        and [full-text search][experimental-full-text-search].

        All query options are defined in
        [LanceQueryBuilder][lancedb.query.LanceQueryBuilder].
@@ -1604,10 +1570,8 @@ class Table(ABC):
        """Open lazy, seekable :class:`~lancedb._blob.BlobFile` handles.

        Prefer this over :meth:`fetch_blobs` for large payloads. ``row_ids`` is
-        a ``list[int]`` or a query ``pyarrow.Table`` carrying row identity via
-        ``_rowid`` or a ``_lance_row_id`` field on the blob descriptor. Null
-        rows are ``None``. Remote tables require LanceDB Cloud server 0.5.0 or
-        newer.
+        a ``list[int]`` or query ``pyarrow.Table`` with ``_rowid`` (or stashed
+        row-id metadata). Null rows are ``None``. Local tables only.
        """

    @abstractmethod
@@ -1810,7 +1774,7 @@ class Table(ABC):
        for faster reads.

        Arguments are passed onto Lance's
-        `lance.dataset.DatasetOptimizer.compact_files`.
+        [compact_files][lance.dataset.DatasetOptimizer.compact_files].
        For most cases, the default should be fine.

        See Also
@@ -1864,8 +1828,6 @@ class Table(ABC):
        retrain: bool, default False
            This parameter is no longer used and is deprecated.

-        Notes
-        -----
        The frequency an application should call optimize is based on the frequency of
        data modifications.  If data is frequently added, deleted, or updated then
        optimize should be run frequently.  A good rule of thumb is to run optimize if
@@ -2020,14 +1982,15 @@ class Table(ABC):
        change permanent you can use the `[Self::restore]` method.

        Any operation that modifies the table will fail while the table is in a checked
-        out state. To return the table to a normal state use
-        `[Self::checkout_latest]`.
+        out state.

        Parameters
        ----------
        version: int | str,
            The version to check out. A version number (`int`) or a tag
            (`str`) can be provided.
+
+        To return the table to a normal state use `[Self::checkout_latest]`
        """

    @abstractmethod
@@ -2193,15 +2156,11 @@ class LanceTable(Table):
        return self.name

    @classmethod
-    async def from_inner(cls, tbl: LanceDBTable):
-        from .db import AsyncConnection, LanceDBConnection
+    def from_inner(cls, tbl: LanceDBTable):
+        from .db import LanceDBConnection

        async_tbl = AsyncTable(tbl)
-        inner_conn = tbl.database()
-        read_consistency_interval = await AsyncConnection(
-            inner_conn
-        ).get_read_consistency_interval()
-        conn = LanceDBConnection.from_inner(inner_conn, read_consistency_interval)
+        conn = LanceDBConnection.from_inner(tbl.database())
        return cls(
            conn,
            async_tbl.name,
@@ -2505,7 +2464,13 @@ class LanceTable(Table):
        return LOOP.run(self._table.count_rows(filter))

    def __repr__(self) -> str:
-        return f"{self.__class__.__name__}(name={self.name!r}, _conn={self._conn!r})"
+        val = f"{self.__class__.__name__}(name={self.name!r}"
+        if self._conn.read_consistency_interval is not None:
+            val += ", read_consistency_interval={!r}".format(
+                self._conn.read_consistency_interval
+            )
+        val += f", _conn={self._conn!r})"
+        return val

    def __str__(self) -> str:
        return self.__repr__()
@@ -2580,9 +2545,6 @@ class LanceTable(Table):
        2. Currently we've disabled push-down of the filters from polars
           because polars pushdown into pyarrow uses pyarrow compute
           expressions rather than SQl strings (which LanceDB supports)
-        3. The Polars streaming engine is not supported because it does not
-           currently implement Python PyArrow dataset scans. Use the default
-           engine when collecting this LazyFrame.

        Returns
        -------
@@ -2591,12 +2553,8 @@ class LanceTable(Table):
        from lancedb.integrations.pyarrow import PyarrowDatasetAdapter

        dataset = PyarrowDatasetAdapter(self)
-        # Polars 1.32's non-PyArrow callback path passes batch_size twice.  Keep
-        # the compatible PyArrow path, but block predicates because this adapter
-        # cannot translate PyArrow expressions into LanceDB filters.
-        return pl.scan_pyarrow_dataset(dataset, batch_size=batch_size).map_batches(
-            _polars_predicate_pushdown_barrier,
-            predicate_pushdown=False,
+        return pl.scan_pyarrow_dataset(
+            dataset, allow_pyarrow_filter=False, batch_size=batch_size
        )

    # New unified API overload
@@ -2821,34 +2779,6 @@ class LanceTable(Table):
            )
        )

-    def create_index_async(
-        self,
-        column: str,
-        *,
-        config: IndexConfigType,
-        replace: Optional[bool] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> Job:
-        """Create an index, returning a handle to the indexing job.
-
-        The job may already be complete when returned; callers must not assume
-        the index exists until :meth:`Job.wait` returns.
-        """
-        return Job(
-            LOOP.run(
-                self._table.create_index_async(
-                    column,
-                    replace=replace,
-                    config=config,
-                    wait_timeout=wait_timeout,
-                    name=name,
-                    train=train,
-                )
-            )
-        )
-
    def _is_legacy_create_index_call(
        self,
        first_arg: str,
@@ -3125,7 +3055,6 @@ class LanceTable(Table):
        lower_case: bool = True,
        stem: bool = True,
        remove_stop_words: bool = True,
-        custom_stop_words: Optional[List[str]] = None,
        ascii_folding: bool = True,
        ngram_min_length: int = 3,
        ngram_max_length: int = 3,
@@ -3172,7 +3101,6 @@ class LanceTable(Table):
                "lower_case": lower_case,
                "stem": stem,
                "remove_stop_words": remove_stop_words,
-                "custom_stop_words": custom_stop_words,
                "ascii_folding": ascii_folding,
                "ngram_min_length": ngram_min_length,
                "ngram_max_length": ngram_max_length,
@@ -3180,7 +3108,6 @@ class LanceTable(Table):
            }
        else:
            tokenizer_configs = self.infer_tokenizer_configs(tokenizer_name)
-            tokenizer_configs["custom_stop_words"] = custom_stop_words

        config = FTS(block_size=block_size, **tokenizer_configs)

@@ -3453,8 +3380,8 @@ class LanceTable(Table):
        fts_columns: Optional[Union[str, List[str]]] = None,
    ) -> LanceQueryBuilder:
        """Create a search query to find the nearest neighbors
-        of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/)
-        and [full-text search](https://lancedb.com/docs/search/full-text-search/).
+        of the given query vector. We currently support [vector search][search]
+        and [full-text search][search].

        Examples
        --------
@@ -3484,9 +3411,8 @@ class LanceTable(Table):
            - *default None*.
            Acceptable types are: list, np.ndarray, PIL.Image.Image

-            - If None then the
-            select/[where][lancedb.query.LanceQueryBuilder.where]/limit clauses
-            are applied to filter the table
+            - If None then the select/[where][sql]/limit clauses are applied
+            to filter the table
        vector_column_name: str, optional
            The name of the vector column to search.

@@ -3880,8 +3806,6 @@ class LanceTable(Table):
        retrain: bool, default False
            This parameter is no longer used and is deprecated.

-        Notes
-        -----
        The frequency an application should call optimize is based on the frequency of
        data modifications.  If data is frequently added, deleted, or updated then
        optimize should be run frequently.  A good rule of thumb is to run optimize if
@@ -3976,28 +3900,6 @@ class LanceTable(Table):
        [`AsyncTable.get_lsm_write_spec`][lancedb.AsyncTable.get_lsm_write_spec]."""
        return LOOP.run(self._table.get_lsm_write_spec())

-    def checkpoint_lsm(self) -> None:
-        """Synchronous version of
-        [`AsyncTable.checkpoint_lsm`][lancedb.AsyncTable.checkpoint_lsm]."""
-        return LOOP.run(self._table.checkpoint_lsm())
-
-    def flush_lsm(self) -> None:
-        """Synchronous version of
-        [`AsyncTable.flush_lsm`][lancedb.AsyncTable.flush_lsm]."""
-        return LOOP.run(self._table.flush_lsm())
-
-    def compact_lsm(self) -> None:
-        """Synchronous version of
-        [`AsyncTable.compact_lsm`][lancedb.AsyncTable.compact_lsm]."""
-        return LOOP.run(self._table.compact_lsm())
-
-    def get_lsm_stats(self, *, include_generation_rows: bool = False) -> Optional[dict]:
-        """Synchronous version of
-        [`AsyncTable.get_lsm_stats`][lancedb.AsyncTable.get_lsm_stats]."""
-        return LOOP.run(
-            self._table.get_lsm_stats(include_generation_rows=include_generation_rows)
-        )
-
    def close_lsm_writers(self) -> None:
        """Close cached MemWAL shard writers. See
        [`AsyncTable.close_lsm_writers`][lancedb.AsyncTable.close_lsm_writers]."""
@@ -4708,67 +4610,6 @@ class AsyncTable:
        """
        return await self._inner.get_lsm_write_spec()

-    async def checkpoint_lsm(self) -> None:
-        """Converge this table's LSM write path into its base table.
-
-        One flush, sealing every memtable into L0, then compaction triggers
-        until every generation that existed at that moment has reached base.
-        The loop runs client-side, reading progress from ``get_lsm_stats``.
-
-        Best-effort: generations created *while* it runs are deliberately not
-        waited on, which is what lets it terminate on a table taking writes.
-        Idempotent and safe on a cadence.
-
-        There is no deadline, and the caller owns that. It returns when the
-        target generations are gone, raises on a terminal server fault, and
-        otherwise waits however long the server takes. A slow table and a
-        stuck one are the same picture from the client: the compactor pool is
-        shared across every table on the node, so a checkpoint queued behind
-        unrelated work looks exactly like one that is merging. Wrap this in
-        ``asyncio.wait_for`` for a wall-clock bound; abandoning it partway
-        costs nothing.
-        """
-        return await self._inner.checkpoint_lsm()
-
-    async def flush_lsm(self) -> None:
-        """Seal every bucket's active memtable into L0.
-
-        Does not touch the base table — moving L0 into base is
-        `compact_lsm`. On a node that has not claimed this table, this claims
-        it and replays its WAL log first.
-        """
-        return await self._inner.flush_lsm()
-
-    async def compact_lsm(self) -> None:
-        """Trigger a background L0 to base compaction pass per bucket.
-
-        Returns once the passes are dispatched, not once they finish: watch
-        ``get_lsm_stats`` for progress, or use ``checkpoint_lsm`` to loop
-        until the current L0 has reached base.
-        """
-        return await self._inner.compact_lsm()
-
-    async def get_lsm_stats(
-        self, *, include_generation_rows: bool = False
-    ) -> Optional[dict]:
-        """Read live per-bucket LSM state.
-
-        Answers "how far behind is my fresh tier", "which bucket is hot", and
-        "why is my fresh-tier vector search brute-force". Mutates no table
-        state, though on a node that has not claimed this table it claims it,
-        exactly as a read would.
-
-        Returns ``None`` only when the LSM write path is not enabled.
-
-        Parameters
-        ----------
-        include_generation_rows
-            Report a row count per L0 generation. Off by default: each count
-            opens an uncached Lance dataset, and ``checkpoint_lsm`` polls this
-            needing only generation numbers.
-        """
-        return await self._inner.get_lsm_stats(include_generation_rows)
-
    async def close_lsm_writers(self) -> None:
        """Drain and close any cached MemWAL shard writers for this table.

@@ -4843,7 +4684,7 @@ class AsyncTable:
        Parameters
        ----------
        **kwargs
-            Forwarded to `lance.dataset`.
+            Forwarded to [`lance.dataset`][lance.dataset].

        Returns
        -------
@@ -5019,46 +4860,6 @@ class AsyncTable:
                )
            raise e

-    async def create_index_async(
-        self,
-        column: str,
-        *,
-        replace: Optional[bool] = None,
-        config: Optional[
-            Union[
-                IvfFlat,
-                IvfPq,
-                IvfRq,
-                HnswPq,
-                HnswSq,
-                HnswFlat,
-                BTree,
-                Bitmap,
-                LabelList,
-                Fm,
-                FTS,
-            ]
-        ] = None,
-        wait_timeout: Optional[timedelta] = None,
-        name: Optional[str] = None,
-        train: bool = True,
-    ) -> AsyncJob:
-        """Create an index, returning a handle to the indexing job.
-
-        Takes the same arguments as :meth:`create_index`. The job may already
-        be complete when returned; callers must not assume the index exists
-        until :meth:`AsyncJob.wait` resolves.
-        """
-        job = await self._inner.create_index_async(
-            column,
-            index=config,
-            replace=replace,
-            wait_timeout=wait_timeout,
-            name=name,
-            train=train,
-        )
-        return AsyncJob(job)
-
    async def drop_index(self, name: str) -> None:
        """
        Drop an index from the table.
@@ -5202,7 +5003,7 @@ class AsyncTable:
        progress: Optional[Union[bool, Callable, Any]] = None,
        write_parallelism: Optional[int] = None,
    ) -> AddResult:
-        """Add more data to the [AsyncTable][lancedb.table.AsyncTable].
+        """Add more data to the [Table](Table).

        Parameters
        ----------
@@ -5404,8 +5205,8 @@ class AsyncTable:
        fts_columns: Optional[Union[str, List[str]]] = None,
    ) -> Union[AsyncHybridQuery, AsyncFTSQuery, AsyncVectorQuery]:
        """Create a search query to find the nearest neighbors
-        of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/)
-        and [full-text search](https://lancedb.com/docs/search/full-text-search/).
+        of the given query vector. We currently support [vector search][search]
+        and [full-text search][experimental-full-text-search].

        All query options are defined in [AsyncQuery][lancedb.query.AsyncQuery].

@@ -5966,14 +5767,15 @@ class AsyncTable:
        change permanent you can use the `[Self::restore]` method.

        Any operation that modifies the table will fail while the table is in a checked
-        out state. To return the table to a normal state use
-        `[Self::checkout_latest]`.
+        out state.

        Parameters
        ----------
        version: int | str,
            The version to check out. A version number (`int`) or a tag
            (`str`) can be provided.
+
+        To return the table to a normal state use `[Self::checkout_latest]`
        """
        try:
            await self._inner.checkout(version)
@@ -6157,8 +5959,6 @@ class AsyncTable:
        retrain: bool, default False
            This parameter is no longer used and is deprecated.

-        Notes
-        -----
        The frequency an application should call optimize is based on the frequency of
        data modifications.  If data is frequently added, deleted, or updated then
        optimize should be run frequently.  A good rule of thumb is to run optimize if
@@ -6334,9 +6134,7 @@ class TableStatistics:
    Attributes
    ----------
    total_bytes: int
-        The total size, in bytes, of the table's data files, index files, and
-        overlay files. Read from the manifest, so this excludes deletion files
-        and manifests.
+        The total number of bytes in the table.
    num_rows: int
        The total number of rows in the table.
    num_indices: int
@@ -6541,8 +6339,6 @@ class Branches:
        dry_run: bool, default False
            When True, only preview. When False, attempt the merge.

-        Notes
-        -----
        A rejected merge returns ``status="rejected"`` instead of raising.
        """
        return LOOP.run(self._table.branches.merge(from_branch, dry_run))
@@ -395,11 +395,6 @@ def _(value: dict):
    )


-@value_to_sql.register(pa.Scalar)
-def _(value: pa.Scalar):
-    return value_to_sql(value.as_py())
-
-
@value_to_sql.register(np.ndarray)
 def _(value: np.ndarray):
    return value_to_sql(value.tolist())
@@ -226,13 +226,13 @@ def test_fetch_blob_ranges_validates_requests():
    table = _blob_table("range_validation", [{"id": 1, "image": b"abc"}])
    row_id = _row_ids_by_id(table)[1]

-    with pytest.raises(ValueError, match="exceeds blob size"):
+    with pytest.raises(RuntimeError, match="exceeds blob size"):
        table.fetch_blob_ranges("image", [(row_id, 2, 2)])

-    with pytest.raises(ValueError, match="offset \\+ length overflowed"):
+    with pytest.raises(RuntimeError, match="offset \\+ length overflowed"):
        table.fetch_blob_ranges("image", [(row_id, 2**64 - 1, 1)])

-    with pytest.raises(ValueError, match="row IDs"):
+    with pytest.raises(ValueError, match="row ids"):
        table.fetch_blob_ranges("image", [(2**64 - 1, 0, 1)])


@@ -2,11 +2,9 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors


-import inspect
 import re
 import sys
 from datetime import timedelta
-from importlib import resources
 import os
 from types import SimpleNamespace

@@ -19,10 +17,6 @@ from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError
 from lancedb.pydantic import LanceModel, Vector


-def test_package_includes_pep_561_marker():
-    assert resources.files(lancedb).joinpath("py.typed").is_file()
-
-
 def test_basic(tmp_path):
    db = lancedb.connect(tmp_path)

@@ -68,44 +62,6 @@ def test_basic(tmp_path):
    assert db.open_table("test").name == db["test"].name


-def test_sync_debugger_inspection_does_not_use_background_loop(tmp_path, monkeypatch):
-    from lancedb.background_loop import LOOP
-
-    db = lancedb.connect(tmp_path)
-    table = db.create_table("test", data=[{"id": 1}])
-
-    def fail_run(*args, **kwargs):
-        raise AssertionError("debugger inspection should not use the background loop")
-
-    monkeypatch.setattr(LOOP, "run", fail_run)
-
-    # Debuggers enumerate and evaluate every exposed attribute when expanding a
-    # variable. This must remain safe while their breakpoint suspends LOOP's thread.
-    members = dict(inspect.getmembers(db))
-
-    assert members["uri"] == str(tmp_path)
-    assert members["read_consistency_interval"] is None
-    assert repr(db) == f"LanceDBConnection(uri={str(tmp_path)!r})"
-    assert repr(table) == f"LanceTable(name='test', _conn={db!r})"
-
-
-def test_read_consistency_interval_does_not_use_background_loop(tmp_path, monkeypatch):
-    from lancedb.background_loop import LOOP
-    from lancedb.db import LanceDBConnection
-
-    consistency_interval = timedelta(seconds=5)
-    db = lancedb.connect(tmp_path, read_consistency_interval=consistency_interval)
-    db_from_inner = LanceDBConnection.from_inner(db._inner, consistency_interval)
-
-    def fail_run(*args, **kwargs):
-        raise AssertionError("properties should not use the Python background loop")
-
-    monkeypatch.setattr(LOOP, "run", fail_run)
-
-    assert db.read_consistency_interval == consistency_interval
-    assert db_from_inner.read_consistency_interval == consistency_interval
-
-
 def test_ingest_pd(tmp_path):
    db = lancedb.connect(tmp_path)

@@ -64,23 +64,6 @@ def test_embedding_function(tmp_path):
    assert np.allclose(actual, expected)


-def test_instructor_ndims_uses_instruction():
-    instructor = get_registry().get("instructor").create()
-    model = MagicMock()
-    model.encode.return_value = np.zeros((1, 384))
-
-    with patch.object(type(instructor), "get_model", return_value=model):
-        assert instructor.ndims() == 384
-
-    model.encode.assert_called_once_with(
-        [[instructor.source_instruction, "foo"]],
-        batch_size=instructor.batch_size,
-        show_progress_bar=instructor.show_progress_bar,
-        normalize_embeddings=instructor.normalize_embeddings,
-        device=instructor.device,
-    )
-
-
 def test_embedding_function_variables():
    @register("variable-testing")
    class VariableTestingFunction(TextEmbeddingFunction):
@@ -132,16 +115,34 @@ def test_embedding_function_variables():
    assert func.safe_model_dump()["secret_key"] == "$var:secret"


-def test_openai_variables_survive_metadata_round_trip():
+def test_parse_functions_with_variables():
+    @register("variable-parsing-test")
+    class VariableParsingFunction(TextEmbeddingFunction):
+        api_key: str
+        base_url: Optional[str] = None
+
+        @staticmethod
+        def sensitive_keys():
+            return ["api_key"]
+
+        def ndims(self):
+            return 10
+
+        def generate_embeddings(self, texts):
+            # Mock implementation that just returns random embeddings
+            # In real usage, this would use the api_key to call an API
+            return [np.random.rand(self.ndims()).tolist() for _ in texts]
+
    registry = EmbeddingFunctionRegistry.get_instance()

    registry.set_var("test_api_key", "sk-test-key-12345")
+    registry.set_var("test_base_url", "https://api.example.com")

    conf = EmbeddingFunctionConfig(
        source_column="text",
        vector_column="vector",
-        function=registry.get("openai").create(
-            api_key="$var:test_api_key", base_url="https://api.example.com"
+        function=registry.get("variable-parsing-test").create(
+            api_key="$var:test_api_key", base_url="$var:test_base_url"
        ),
    )

@@ -149,10 +150,7 @@ def test_openai_variables_survive_metadata_round_trip():

    # Create a mock arrow table with the metadata
    schema = pa.schema(
-        [
-            pa.field("text", pa.string()),
-            pa.field("vector", pa.list_(pa.float32(), 1536)),
-        ]
+        [pa.field("text", pa.string()), pa.field("vector", pa.list_(pa.float32(), 10))]
    )
    table = pa.table({"text": [], "vector": []}, schema=schema)
    table = table.replace_schema_metadata(metadata)
@@ -166,15 +164,13 @@ def test_openai_variables_survive_metadata_round_trip():

    assert parsed_func.api_key == "sk-test-key-12345"
    assert parsed_func.base_url == "https://api.example.com"
+
+    embeddings = parsed_func.generate_embeddings(["test text"])
+    assert len(embeddings) == 1
+    assert len(embeddings[0]) == 10
+
    assert parsed_func.safe_model_dump()["api_key"] == "$var:test_api_key"

-    with patch("lancedb.embeddings.openai.attempt_import_or_raise") as import_openai:
-        parsed_func._openai_client
-
-    import_openai.return_value.OpenAI.assert_called_once_with(
-        api_key="sk-test-key-12345", base_url="https://api.example.com"
-    )
-

 def test_embedding_with_bad_results(tmp_path):
    @register("null-embedding")
@@ -631,23 +627,3 @@ def test_url_retrieve_downloads_image():
    image_bytes = url_retrieve(image_url)
    img = Image.open(io.BytesIO(image_bytes))
    assert img.size[0] > 0 and img.size[1] > 0
-
-
-def test_jina_generate_image_input_dict_local_path(tmp_path):
-    """
-    JinaEmbeddings._generate_image_input_dict must accept a local image path
-    (str or Path), not just bytes. Previously it crashed with
-    `AttributeError: 'function' object has no attribute 'urlparse'` on any
-    str/Path input because it called `urlparse.urlparse(image)` instead of
-    `urlparse(image)` (urlparse was imported as a function, not a module).
-    """
-    Image = pytest.importorskip("PIL.Image")
-    from lancedb.embeddings.jinaai import JinaEmbeddings
-
-    image_path = tmp_path / "test.png"
-    Image.new("RGB", (4, 4), color="red").save(image_path, format="PNG")
-
-    for image in (str(image_path), image_path):
-        image_dict = JinaEmbeddings._generate_image_input_dict(image)
-        assert "image" in image_dict
-        assert isinstance(image_dict["image"], str) and len(image_dict["image"]) > 0
@@ -219,13 +219,11 @@ def test_create_inverted_index(table, with_position):
        table.create_fts_index(
            "text",
            with_position=with_position,
-            custom_stop_words=["puppy"],
            name="custom_fts_index",
        )
    indices = table.list_indices()
    fts_indices = [i for i in indices if i.index_type == "FTS"]
    assert any(i.name == "custom_fts_index" for i in fts_indices)
-    assert fts_indices[0].index_details["custom_stop_words"] == ["puppy"]


@pytest.mark.parametrize("block_size", [128, 256])
@@ -245,24 +243,6 @@ def test_create_inverted_index_rejects_invalid_block_size(table):
        table.create_index("text", config=FTS(block_size=129))


-def test_custom_stop_words_list(table):
-    table.create_index(
-        "text",
-        config=FTS(stem=False, custom_stop_words=["lance"]),
-    )
-
-    assert table.list_indices()[0].index_details["custom_stop_words"] == ["lance"]
-    tokens = table.tokenize("the lance data", column="text")
-    assert [token.text for token in tokens] == ["the", "data"]
-    empty_tokens = ldb.tokenize("the lance data", stem=False, custom_stop_words=[])
-    assert [token.text for token in empty_tokens] == ["the", "lance", "data"]
-    with pytest.raises(TypeError, match=r"custom_stop_words.*int"):
-        ldb.tokenize(
-            "the lance data",
-            custom_stop_words=["lance", 42],
-        )
-
-
 def test_search_fts(table):
    table.create_fts_index("text")
    results = table.search("puppy").select(["id", "text"]).limit(5).to_list()
@@ -12,7 +12,7 @@ import pyarrow.compute as pc
 import pytest
 import pytest_asyncio

-from lancedb.index import BTree, FTS, IvfPq
+from lancedb.index import FTS
 from lancedb.table import AsyncTable, Table


@@ -99,86 +99,6 @@ async def test_async_hybrid_query_filters(table: AsyncTable):
    assert result["text"].to_pylist() == ["cat", "b"]


-@pytest.mark.asyncio
-async def test_hybrid_query_with_stale_fixed_size_binary_prefilter(
-    tmpdir_factory,
-):
-    tmp_path = str(tmpdir_factory.mktemp("stale_scalar_prefilter"))
-    db = await lancedb.connect_async(tmp_path)
-
-    def fixed_size_binary(value: int) -> bytes:
-        return value.to_bytes(16, byteorder="big")
-
-    num_rows = 1000
-    data = pa.table(
-        {
-            "space_id": pa.array(
-                [fixed_size_binary(i) for i in range(num_rows)],
-                type=pa.binary(16),
-            ),
-            "text": ["book"] * num_rows,
-            "vector": pa.array(
-                [[float(i), float(i)] for i in range(num_rows)],
-                type=pa.list_(pa.float32(), 2),
-            ),
-        }
-    )
-    table = await db.create_table("test", data)
-    await table.create_index(
-        "vector", config=IvfPq(num_partitions=4, num_sub_vectors=2)
-    )
-    await table.create_index("space_id", config=BTree())
-    await table.create_index("text", config=FTS(with_position=False))
-
-    # Advance the search indices without advancing the scalar index. This is the
-    # state that previously let hybrid search use an incomplete scalar prefilter.
-    await table.add(data)
-    lance_dataset = await table.to_lance()
-    lance_dataset.optimize.optimize_indices(index_names=["vector_idx", "text_idx"])
-    await table.checkout_latest()
-
-    scalar_stats = await table.index_stats("space_id_idx")
-    assert scalar_stats is not None
-    assert scalar_stats.num_indexed_rows == num_rows
-    assert scalar_stats.num_unindexed_rows == num_rows
-
-    for index_name in ["vector_idx", "text_idx"]:
-        search_stats = await table.index_stats(index_name)
-        assert search_stats is not None
-        assert search_stats.num_indexed_rows == num_rows * 2
-        assert search_stats.num_unindexed_rows == 0
-
-    matching_ids = [5, 10, 15, 20, 25, 30]
-    literals = [
-        f"arrow_cast(0x{fixed_size_binary(i).hex()}, 'FixedSizeBinary(16)')"
-        for i in matching_ids
-    ]
-    predicate = f"space_id IN ({', '.join(literals)})"
-    expected_ids = sorted(fixed_size_binary(i) for i in matching_ids for _ in range(2))
-
-    vector_query = (
-        table.query().where(predicate).nearest_to([5.0, 5.0]).limit(num_rows * 2)
-    )
-    vector_results = await vector_query.to_arrow()
-    assert sorted(vector_results["space_id"].to_pylist()) == expected_ids
-
-    fts_query = (
-        table.query().where(predicate).nearest_to_text("book").limit(num_rows * 2)
-    )
-    fts_results = await fts_query.to_arrow()
-    assert sorted(fts_results["space_id"].to_pylist()) == expected_ids
-
-    hybrid_results = await (
-        table.query()
-        .where(predicate)
-        .nearest_to([5.0, 5.0])
-        .nearest_to_text("book")
-        .limit(num_rows * 2)
-        .to_arrow()
-    )
-    assert sorted(hybrid_results["space_id"].to_pylist()) == expected_ids
-
-
@pytest.mark.asyncio
 async def test_async_hybrid_query_default_limit(table: AsyncTable):
    # add 10 new rows
@@ -203,19 +123,6 @@ async def test_async_hybrid_query_default_limit(table: AsyncTable):
    assert texts.count("a") == 1


-def test_hybrid_query_minimum_nprobes_zero_raises(sync_table: Table):
-    # minimum_nprobes(0) must raise the same validation error a plain vector
-    # query raises, not silently no-op because 0 is falsy.
-    with pytest.raises(ValueError, match="minimum_nprobes must be greater than 0"):
-        (
-            sync_table.search(query_type="hybrid")
-            .vector([0.0, 0.4])
-            .text("dog")
-            .minimum_nprobes(0)
-            .to_arrow()
-        )
-
-
 def test_hybrid_query_distance_range(sync_table: Table):
    reranker = RRFReranker(return_score="all")
    result = (
@@ -1,33 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import re
-import shutil
-import subprocess
-import sys
-
-import lancedb._lancedb as _lancedb
-import pytest
-
-
-@pytest.mark.skipif(sys.platform != "linux", reason="ldd is Linux-specific")
-def test_native_extension_does_not_link_openssl():
-    """OpenSSL-linked wheels abort when imported on RHEL hosts in FIPS mode."""
-    ldd = shutil.which("ldd")
-    if ldd is None:
-        pytest.skip("ldd is not installed")
-
-    result = subprocess.run(
-        [ldd, _lancedb.__file__],
-        check=True,
-        capture_output=True,
-        text=True,
-    )
-    openssl_libraries = re.findall(
-        r"^\s*(lib(?:crypto|ssl)\S*)\s+=>", result.stdout, flags=re.MULTILINE
-    )
-
-    assert not openssl_libraries, (
-        "the LanceDB native extension must use rustls instead of linking OpenSSL: "
-        f"{openssl_libraries}"
-    )
@@ -84,15 +84,6 @@ async def binary_table(db_async):
    )


-@pytest.mark.asyncio
-async def test_create_index_async_returns_done_job(some_table: AsyncTable):
-    job = await some_table.create_index_async("id", config=BTree())
-    assert job.id is None
-    await job.wait()
-    assert len(await some_table.list_indices()) == 1
-    await job.cancel()
-
-
@pytest.mark.asyncio
 async def test_create_scalar_index(some_table: AsyncTable):
    # Can create
@@ -372,31 +363,6 @@ async def test_create_vector_index(some_table: AsyncTable):
    assert stats.num_indices == 1


-@pytest.mark.asyncio
-async def test_create_ivf_index_reports_unsplittable_partitions(db_async):
-    dim = 8
-    num_partitions = 300  # More than 256 selects hierarchical k-means.
-    base_vectors = [[float(row == column) for column in range(dim)] for row in range(5)]
-    vectors = pa.array(base_vectors * 200, pa.list_(pa.float32(), dim))
-    table = await db_async.create_table(
-        "unsplittable_partitions",
-        pa.table({"vector": vectors}),
-    )
-
-    error_pattern = (
-        rf"Cannot create {num_partitions} IVF partitions: k-means could only form"
-    )
-    with pytest.raises(RuntimeError, match=error_pattern):
-        await table.create_index(
-            "vector",
-            config=IvfFlat(
-                distance_type="dot",
-                num_partitions=num_partitions,
-                max_iterations=10,
-            ),
-        )
-
-
@pytest.mark.asyncio
 async def test_create_4bit_ivfpq_index(some_table: AsyncTable):
    # Can create
@@ -18,7 +18,6 @@ Tests verify:
 """

 import copy
-import os
 import shutil
 import sys
 import tempfile
@@ -240,7 +239,7 @@ def create_tracking_namespace(

    dir_props = {f"storage.{k}": v for k, v in storage_options_with_refresh.items()}

-    if os.path.isabs(bucket_name) or bucket_name.startswith("file://"):
+    if bucket_name.startswith("/") or bucket_name.startswith("file://"):
        dir_props["root"] = f"{bucket_name}/namespace_root"
    else:
        dir_props["root"] = f"s3://{bucket_name}/namespace_root"
@@ -768,70 +767,3 @@ def test_namespace_with_schema_only(s3_bucket: str, use_custom: bool):

    # Verify data was added
    assert table.count_rows() == 2
-
-
-@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
-def test_namespace_exists(use_custom: bool):
-    """
-    Test namespace_exists returns True for existing and False for non-existent.
-    """
-    temp_dir = tempfile.mkdtemp()
-    try:
-        ns_client, _ = create_tracking_namespace(
-            bucket_name=temp_dir,
-            storage_options={},
-            credential_expires_in_seconds=3600,
-            use_custom=use_custom,
-        )
-        db = LanceNamespaceDBConnection(ns_client)
-
-        namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
-        db.create_namespace([namespace_name])
-
-        # Existing namespace should return True
-        assert db.namespace_exists(namespace_id=[namespace_name]) is True
-
-        # Non-existent namespace should return False
-        assert db.namespace_exists(namespace_id=["nonexistent_ns"]) is False
-    finally:
-        shutil.rmtree(temp_dir, ignore_errors=True)
-
-
-@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
-def test_table_exists(use_custom: bool):
-    """
-    Test table_exists returns True for existing table and False for non-existent.
-    """
-    temp_dir = tempfile.mkdtemp()
-    try:
-        ns_client, _ = create_tracking_namespace(
-            bucket_name=temp_dir,
-            storage_options={},
-            credential_expires_in_seconds=3600,
-            use_custom=use_custom,
-        )
-        db = LanceNamespaceDBConnection(ns_client)
-
-        namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
-        db.create_namespace([namespace_name])
-
-        table_name = f"test_table_{uuid.uuid4().hex}"
-        namespace_path = [namespace_name]
-        schema = pa.schema(
-            [
-                pa.field("id", pa.int64()),
-                pa.field("vector", pa.list_(pa.float32(), 2)),
-                pa.field("text", pa.string()),
-            ]
-        )
-
-        db.create_table(table_name, schema=schema, namespace_path=namespace_path)
-
-        # Existing table should return True
-        table_id = namespace_path + [table_name]
-        assert db.table_exists(table_id=table_id) is True
-
-        # Non-existent table should return False
-        assert db.table_exists(table_id=namespace_path + ["nonexistent_table"]) is False
-    finally:
-        shutil.rmtree(temp_dir, ignore_errors=True)
@@ -1,42 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import importlib
-import re
-import sys
-from pathlib import Path
-
-import pytest
-
-
-def test_pyo3_abi_matches_minimum_supported_python():
-    project_dir = Path(__file__).parents[2]
-    pyproject = (project_dir / "pyproject.toml").read_text()
-    cargo_manifest = (project_dir / "Cargo.toml").read_text()
-
-    minimum_python = re.search(
-        r'^requires-python\s*=\s*">=(\d+)\.(\d+)"$', pyproject, re.MULTILINE
-    )
-    assert minimum_python is not None
-
-    major, minor = minimum_python.groups()
-    expected_abi = f"abi3-py{major}{minor}"
-    configured_abis = re.findall(r'"(abi3-py\d+)"', cargo_manifest)
-
-    assert configured_abis == [expected_abi, expected_abi], (
-        "the pyo3 runtime and build ABI features must both match requires-python"
-    )
-
-
-@pytest.mark.skipif(sys.platform != "win32", reason="Windows wheel regression test")
-def test_windows_wheel_tag_and_native_import():
-    project_dir = Path(__file__).parents[2]
-    wheels = list((project_dir.parent / "target" / "wheels").glob("lancedb-*.whl"))
-    if not wheels:
-        pytest.skip("no wheel artifact is available in this development environment")
-
-    assert len(wheels) == 1
-    assert wheels[0].name.endswith("-cp310-abi3-win_amd64.whl")
-
-    native_module = importlib.import_module("lancedb._lancedb")
-    assert Path(native_module.__file__).suffix == ".pyd"
@@ -6,7 +6,6 @@ import math
 import pytest

 from lancedb import DBConnection, Table, connect
-from lancedb.background_loop import LOOP
 from lancedb.permutation import Permutation, Permutations, permutation_builder


@@ -32,25 +31,6 @@ def test_split_random_ratios(mem_db):
    assert 65 <= split_1_count <= 75  # ~70% ± tolerance


-def test_execute_does_not_reenter_background_loop(tmp_path, monkeypatch):
-    import threading
-
-    db = connect(tmp_path)
-    tbl = db.create_table("test_table", pa.table({"x": range(10)}))
-    original_run = LOOP.run
-
-    def fail_on_reentry(future):
-        assert threading.current_thread() is not LOOP.thread
-        return original_run(future)
-
-    monkeypatch.setattr(LOOP, "run", fail_on_reentry)
-
-    permutation_tbl = permutation_builder(tbl).execute()
-
-    assert permutation_tbl.count_rows() == 10
-    assert permutation_tbl._conn.read_consistency_interval is None
-
-
 def test_split_random_counts(mem_db):
    """Test random splitting with absolute counts."""
    tbl = mem_db.create_table(
@@ -415,17 +415,6 @@ def test_nullable_vector():
    assert schema == pa.schema([pa.field("vec", pa.list_(pa.float32(), 16), True)])


-def test_bare_vector_raises_clear_error():
-    namespace = {
-        "__name__": "test_model_without_pyarrow",
-        "LanceModel": LanceModel,
-        "Vector": Vector,
-    }
-
-    with pytest.raises(TypeError, match=r"Vector must be parameterized.*Vector\(128\)"):
-        exec("class TestModel(LanceModel):\n    vector: Vector", namespace)
-
-
 def test_fixed_size_list_field():
    class TestModel(pydantic.BaseModel):
        vec: Vector(16)
--- a/Show More
+++ b/Show More