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lancedb-gatefixer[bot]
03b52e5877
## Summary - cover explicit FixedSizeList schemas populated from Float32Array values - verify the original vector.0 failure stays fixed across Arrow 15, 16, 17, and 18 ## Root cause and fix In v0.16, schema subset inference treated typed-array vectors as nested objects and looked up numeric paths such as vector.0, which do not exist in a FixedSizeList schema. Current typed-array handling correctly recognizes ArrayBuffer views as vector values instead of traversing their elements. This change adds the missing regression coverage for the reported explicit-schema path so that behavior cannot regress unnoticed. ## Validation - pnpm test __test__/arrow.test.ts --runInBand - pnpm lint - pnpm build - pnpm run docs - pnpm test --runInBand (681 passed, 5 skipped) Fixes #2134 <!-- lance-gatekeeper-fix:v1 agent=1d548cb70f6df110ce0a5b119395b52a generation=1 --> Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
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.