upstash-vector-js

✓ Official★ 12

by upstash · part of upstash/skills

Skills for Upstash Vector features, TypeScript/JavaScript SDK usage, and integrations. Use when users ask how to work with Vector, its TS SDK, features, or…

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#automation #database #git #memory

🧩 One of 7 skills in the upstash/skills package — works on its own, and pairs well with its siblings.

Skills for Upstash Vector features, TypeScript/JavaScript SDK usage, and integrations. Use when users ask how to work with Vector, its TS SDK, features, or…

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by upstash

Skills for Upstash Vector features, TypeScript/JavaScript SDK usage, and integrations. Use when users ask how to work with Vector, its TS SDK, features, or… npx skills add https://github.com/upstash/skills --skill upstash-vector-js Download ZIP GitHub12

Vector Documentation Skill

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.

Copy & paste — that's it

npx skills add https://github.com/upstash/skills --skill upstash-vector-js

Run this in your project — your agent picks the skill up automatically.

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):

Copy & paste — that's it

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.