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Ishita Singh
e5873d9763
Closes #4609. `blobMode: "bytes"` only resolved top-level blob columns, so a blob nested in a struct came back as its descriptor. Now struct projections that contain blob columns are resolved too: the bytes are fetched per blob column and the struct is rebuilt with `LargeBinary` leaves, preserving struct validity so a null struct stays null. Sibling fields pass through untouched, aliases work for both `info.image AS image` and `info AS details`, and blobs nested in lists still keep their descriptors. Tested with `npx tsc`, `biome check`, and the full `table.test.ts` suite (580 tests, including new regressions for select-all, struct selection, aliases, null structs, null and empty blobs, sibling fields, empty results, and single-row batches). Not run against remote tables.
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.