Files
lancedb/nodejs
Neha Prasad 2261eb95a0 fix(node): handle undefined vector fields with embedding functions (#2655)
- Fixes issue where passing `{ vector: undefined }` with an embedding
function threw "Found field not in schema" error instead of calling the
embedding function like `null` or omitted fields.

**Changes:**
- Modified `rowPathsAndValues` to skip undefined values during schema
inference
- Added test case verifying undefined, null, and omitted vector fields
all work correctly

**Before:** `{ vector: undefined }` → Error
**After:** `{ vector: undefined }` → Calls embedding function

Closes #2647
2025-09-19 09:17:28 -07:00
..
2025-08-13 10:05:57 -07:00
2025-03-21 10:56:29 -07:00
2025-01-29 08:27:07 -08:00
2025-07-23 12:20:36 -07:00
2025-03-21 10:56:29 -07:00

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 a more complete example.

Development

See CONTRIBUTING.md for information on how to contribute to LanceDB.