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I'm working on a lancedb version of pytorch data loading (and hopefully addressing https://github.com/lancedb/lance/issues/3727). However, rather than rely on pytorch for everything I'm moving some of the things that pytorch does into rust. This gives us more control over data loading (e.g. using shards or a hash-based split) and it allows permutations to be persistent. In particular I hope to be able to: * Create a persistent permutation * This permutation can handle splits, filtering, shuffling, and sharding * Create a rust data loader that can read a permutation (one or more splits), or a subset of a permutation (for DDP) * Create a python data loader that delegates to the rust data loader Eventually create integrations for other data loading libraries, including rust & node
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.