Note
This project is in GA Stage.
The Upstash Professional Support fully covers this project. It receives regular updates, and bug fixes. The Upstash team is committed to maintaining and improving its functionality.
@upstash/vector
is an HTTP/REST based client for Typescript, built on top of Upstash REST API.
It is the only connectionless (HTTP based) Vector client and designed for:
- Serverless functions (AWS Lambda ...)
- Cloudflare Workers
- Next.js, Jamstack ...
- Client side web/mobile applications
- WebAssembly
- and other environments where HTTP is preferred over TCP.
See the list of APIs supported.
npm install @upstash/vector
Create a new index on Upstash
import { Index } from "@upstash/vector";
type Metadata = {
title: string,
genre: 'sci-fi' | 'fantasy' | 'horror' | 'action'
category: "classic" | "modern"
}
const index = new Index<Metadata>({
url: "<UPSTASH_VECTOR_REST_URL>",
token: "<UPSTASH_VECTOR_REST_TOKEN>",
});
//Upsert Data
await index.upsert([{
id: 'upstash-rocks',
vector: [
.... // embedding values
],
metadata: {
title: 'Lord of The Rings',
genre: 'fantasy',
category: 'classic'
}
}])
//Query Data
const results = await index.query<Metadata>({
vector: [
... // query embedding
],
includeVectors: true,
includeMetadata: true
topK: 1,
})
//Update Data
await index.upsert({
id: "upstash-rocks",
metadata: {
title: 'Star Wars',
genre: 'sci-fi',
category: 'classic'
}
});
//Delete record
await index.delete("upstash-rocks");
//Delete many by id
await index.delete(["id-1", "id-2", "id-3"]);
//Fetch records by their IDs
await index.fetch(["id-1", "id-2"]);
//Fetch records with range
await index.range({
cursor: 0,
limit: 5,
includeVectors: true,
});
//Reset index
await index.reset();
//Info about index
await index.info();
//Random vector based on stored vectors
await index.random();
We have a Discord for common problems. If you can't find a solution, please open an issue.
See the documentation for details.
Create a new index on Upstash and copy the url and token.
bun run test
bun run build