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<!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Added the ability to prewarm (load into memory) table indexes via new methods in Python, Node.js, and Rust APIs, potentially reducing cold-start query latency. - **Bug Fixes** - Ensured prewarming an index does not interfere with subsequent search operations. - **Tests** - Introduced new test cases to verify full-text search index creation, prewarming, and search functionalities in both Python and Node.js. - **Chores** - Updated dependencies for improved compatibility and performance. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Lu Qiu <luqiujob@gmail.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 a more complete example.
Development
See CONTRIBUTING.md for information on how to contribute to LanceDB.