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## Summary Surfaces the rich per-index metadata added in #3497 to the Python and Node.js language bindings. Closes #3495. New optional fields exposed on `IndexConfig` in both bindings: - `index_uuid` / `indexUuid` — UUID of the first index segment - `type_url` / `typeUrl` — protobuf type URL for the index - `created_at` / `createdAt` — creation timestamp (milliseconds since Unix epoch) - `num_indexed_rows` / `numIndexedRows` — rows covered by the index - `num_unindexed_rows` / `numUnindexedRows` — rows not yet indexed - `size_bytes` / `sizeBytes` — total index file size in bytes - `num_segments` / `numSegments` — number of index segments - `index_version` / `indexVersion` — on-disk format version - `index_details` / `indexDetails` — type-specific JSON details string All fields are `None`/`undefined` for remote tables (which don't yet surface this metadata through the server response). ## Changes - `python/src/index.rs`: extend `IndexConfig` pyclass; update `From` impl; update `__getitem__` - `python/python/lancedb/_lancedb.pyi`: add type hints for new fields - `python/python/tests/test_table.py`: new `test_index_config_fields` test - `nodejs/src/table.rs`: extend `IndexConfig` napi struct; update `From` impl - `nodejs/__test__/table.test.ts`: new test; update existing `toEqual` assertions to `expect.objectContaining` to accommodate new fields ## Test plan - [x] Python: `uv run --extra tests pytest python/tests/test_table.py::test_index_config_fields` - [x] Node.js: `pnpm test __test__/table.test.ts` 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
LanceDB JavaScript SDK
A JavaScript library for LanceDB.
Installation
npm install @lancedb/lancedb
This will download the appropriate native library for your platform. We currently support:
- Linux (x86_64 and aarch64 on glibc and musl)
- MacOS (Intel and ARM/M1/M2)
- Windows (x86_64 and aarch64)
Usage
Basic Example
import * as lancedb from "@lancedb/lancedb";
const db = await lancedb.connect("data/sample-lancedb");
const table = await db.createTable("my_table", [
{ id: 1, vector: [0.1, 1.0], item: "foo", price: 10.0 },
{ id: 2, vector: [3.9, 0.5], item: "bar", price: 20.0 },
]);
const results = await table.vectorSearch([0.1, 0.3]).limit(20).toArray();
console.log(results);
The quickstart contains more complete examples.
Development
See CONTRIBUTING.md for information on how to contribute to LanceDB.