Files
lancedb/nodejs
adenzhou1350 9c161869e1 fix(node): respect transformers tokenizer option (#4457)
## Summary

`tokenizer` is a documented option, but initialization always passed the
model name to `AutoTokenizer.from_pretrained`. Preserve the resolved
tokenizer option, fall back to the model name when it is omitted, and
identify the selected tokenizer in loading errors.

Add five initialization regressions covering default model/tokenizer
selection, an explicit tokenizer, registry variables, and tokenizer
loading errors. They run in native Node child processes so the real ESM
import works without changing Jest/CI flags. Model loaders are mocked
and local/remote model access is disabled; these tests do not download
models or test inference.

## Validation

- Before: three regressions fail and two default-selection controls
pass. After: all five pass.
- New tests plus the existing registry and embedding-registry suites: 48
passed.
- TypeScript compilation, changed-file Biome checks, and `pnpm run docs`
pass; generated tracked docs are unchanged.
- Checked with Node 24.14.1 / pnpm 11.1.1 on Linux, both with default
Jest flags and the Linux CI ESM flag. The native binding and
declarations came from the official `0.40.0-beta.13` packages, with
registry integrity verified. Rebuilding Rust from source timed out
during Cargo metadata resolution, before compilation; no Rust code is
changed.
2026-10-23 02:45:19 +08:00
..
2025-01-29 08:27:07 -08:00

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.