mirror of
https://github.com/lancedb/lancedb.git
synced 2026-01-13 23:32:57 +00:00
96181ab421
Sometimes it is acceptable to users to only search indexed data and skip and new un-indexed data. For example, if un-indexed data will be shortly indexed and they don't mind the delay. In these cases, we can save a lot of CPU time in search, and provide better latency. Users can activate this on queries using `fast_search()`.
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)
- MacOS (Intel and ARM/M1/M2)
- Windows (x86_64 only)
We do not yet support musl-based Linux (such as Alpine Linux) or aarch64 Windows.
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
npm run build
npm run test
Running lint / format
LanceDb uses biome for linting and formatting. if you are using VSCode you will need to install the official Biome extension. To manually lint your code you can run:
npm run lint
to automatically fix all fixable issues:
npm run lint-fix
If you do not have your workspace root set to the nodejs directory, unfortunately the extension will not work. You can still run the linting and formatting commands manually.
Generating docs
npm run docs
cd ../docs
# Asssume the virtual environment was created
# python3 -m venv venv
# pip install -r requirements.txt
. ./venv/bin/activate
mkdocs build