mirror of
https://github.com/lancedb/lancedb.git
synced 2026-05-22 06:20:39 +00:00
d5dc4c0f06
LanceDB default vector column discovery only considered top-level fields, so tables with a single nested vector leaf still required users to pass an explicit field path. This updates Rust and Python discovery to recurse into struct fields, return canonical field paths, and preserve actionable errors when no default or multiple defaults exist. The explicit nested path flow for index creation and search remains supported across Rust, Python, and Node, with regression coverage for single nested vector leaves, multiple candidate leaves, and schemas without vector leaves. Closes #3405.
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.