---
id: upstash/skills/upstash-vector-js
version: "17978a85"
license: MIT
install: manual
updated: 2026-07-14
---

# upstash-vector-js — Upstash Vector is a high-performance vector database for storing and querying vector embeddings. This skill covers the TypeScript/JavaScript SDK, including core operations like upserting vectors, querying, and managing namespaces, plus advanced features like filtering, metadata handling, and index structures.

Publisher: upstash · Stars: 15 · Updated: 2026-07-14

Install (manual): `git clone https://github.com/upstash/skills`

## SKILL.md

# Vector Documentation Skill

## Quick Start

Vector is a high‑performance vector database for storing, querying, and managing vector embeddings.

Basic workflow:

- Install the Vector TS SDK.
- Connect to a Vector instance.
- Upsert vectors, query them, and manage namespaces.

Example (TypeScript):

```ts
import { Index } from "@upstash/vector";
const index = new Index({
  url: process.env.UPSTASH_VECTOR_REST_URL!,
  token: process.env.UPSTASH_VECTOR_REST_TOKEN!,
});

await index.upsert([{ id: "1", vector: [0.1, 0.2], metadata: { tag: "example" } }]);

const results = await index.query({
  vector: [0.1, 0.2],
  topK: 5,
});
```

For full usage, refer to the linked skill files below.

## Other Skill Files

### TS SDK Reference

- `sdk-methods`: Explains SDK commands: delete, fetch, info, query, range, reset, resumable-query, upsert

### Features

- `features/namespaces`: Explains namespaces and dataset organization.
- `features/index-structure`: Covers hybrid and sparse index structures.
- `features/filtering-and-metadata`: Details metadata storage and server-side filtering.

Use these files for deeper guidance on SDK usage, advanced configurations, algorithms, and integrations.


[View on SkillFed](https://skillfed.io/upstash/skills/upstash-vector-js) · [View on GitHub](https://github.com/upstash/skills)