mirror of https://github.com/lancedb/lancedb.git synced 2026-10-13 07:12:27 +00:00

Files

T

Jack Ye f305a05fd4 fix: preserve adaptive IVF probe defaults (#4168 )

Keep IVF probe fields unset by default so Lance supplies adaptive
behavior. Preserve `nprobes`, `minimum_nprobes`, and `maximum_nprobes`
independently through Rust, Python, namespace, and remote request
construction, with compatibility fields serialized only when explicitly
configured.

The final Rust namespace and LSM propagation update depends on the Lance
release containing lance-format/lance#9184.

2026-10-09 12:45:02 -07:00

_media

docs(python): fill gaps in the Python API reference (#3746 )

2026-07-30 16:50:05 -07:00

classes

fix: preserve adaptive IVF probe defaults (#4168 )

2026-10-09 12:45:02 -07:00

enumerations

feat: use oauth2 crate for OAuth with configurable client auth (#4181 )

2026-09-16 20:11:08 +08:00

functions

feat!: list_databases returns an iterator (#4442 )

2026-10-05 19:41:53 -07:00

interfaces

fix(node): accept code as a base tokenizer (#4368 )

2026-10-08 19:46:02 -07:00

namespaces

fix(node): update arrow to 21 (#4362 )

2026-10-02 15:56:46 -05:00

type-aliases

fix(node): accept code as a base tokenizer (#4368 )

2026-10-08 19:46:02 -07:00

globals.md

refactor!: implement lazy iterators for several APIs (#4459 )

2026-10-07 10:24:20 -07:00

README.md

docs: fix broken documentation links (#3278 )

2026-04-15 20:56:59 +08:00

README.md

@lancedb/lancedb • Docs

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.