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## Summary - Upgrades `@napi-rs/cli` from v2 to v3, `napi`/`napi-derive` Rust crates to 3.x - Fixes a bug ([napi-rs#1170](https://github.com/napi-rs/napi-rs/issues/1170)) where the CLI failed to locate the built `.node` binary when a custom Cargo target directory is set (via `config.toml`) ## Changes **package.json / CLI**: - `napi.name` → `napi.binaryName`, `napi.triples` → `napi.targets` - Removed `--no-const-enum` flag and fixed output dir arg - `napi universal` → `napi universalize` **Rust API migration**: - `#[napi::module_init]` → `#[napi_derive::module_init]` - `napi::JsObject` → `Object`, `.get::<_, T>()` → `.get::<T>()` - `ErrorStrategy` removed; `ThreadsafeFunction` now takes an explicit `Return` type with `CalleeHandled = false` const generic - `JsFunction` + `create_threadsafe_function` replaced by typed `Function<Args, Return>` + `build_threadsafe_function().build()` - `RerankerCallbacks` struct removed (`Function<'env,...>` can't be stored in structs); `VectorQuery::rerank` now accepts the function directly - `ClassInstance::clone()` now returns `ClassInstance`, fixed with explicit deref - `Vec<u8>` in `#[napi(object)]` now maps to `Array<number>` in v3; changed to `Buffer` to preserve the TypeScript `Buffer` type **TypeScript**: - `inner.rerank({ rerankHybrid: async (_, args) => ... })` → `inner.rerank(async (args) => ...)` - Header provider callback wrapped in `async` to match stricter typed constructor signature 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.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.