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https://github.com/lancedb/lancedb.git
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Jack YeandXuanwo
45dbf5eff5
Remote materialized-view APIs now use SQL for the full lifecycle. Create and refresh already submit SQL; this change moves describe, paginated listing, and drop onto `DESCRIBE MATERIALIZED VIEW`, `SHOW MATERIALIZED VIEWS`, and `DROP MATERIALIZED VIEW`. Async create, refresh, and drop return the existing Job handle with `job_type = "query"`. The handle has one `id`: the connection-scoped SQL query ID, also accepted by `describe_query`. Submission starts the query, the job drains its result once, and repeated waits reuse the completed result. Synchronous drop waits for catalog removal; physical cleanup proceeds in the background. Listing uses namespace-scoped keyset pagination with opaque resume tokens. Streamed and deferred SQL responses share the same path. Adds transport coverage and updates Python/TypeScript documentation for query-backed drop jobs. --------- Co-authored-by: Xuanwo <github@xuanwo.io>
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.