upstash-vector-db-skills
CommunityBuild fast semantic search with Upstash vectors.
Authorgocallum
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Upstash Vector DB simplifies adding scalable vector storage and semantic search to modern apps, reducing the complexity of building and maintaining a search layer for knowledge bases and documents.
Core Features & Use Cases
- Vector index creation, upsert with embeddings, and retrieval for fast semantic search in serverless Next.js apps.
- Namespaces for data isolation, multi-tenant search, and project partitioning.
- Use cases include building document search, chat-like assistants, and knowledge base lookup with minimal infrastructure.
Quick Start
- Create a vector index in the Upstash Console, choose a closest region and a dense embedding model (MixBread recommended).
- Install the SDK: pnpm add @upstash/vector
- Configure environment variables: UPSTASH_VECTOR_REST_URL=your_url UPSTASH_VECTOR_REST_TOKEN=your_token
- Basic usage: Upsert documents with automatic embedding and run semantic queries using index.query().
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: upstash-vector-db-skills Download link: https://github.com/gocallum/nextjs16-agent-skills/archive/main.zip#upstash-vector-db-skills Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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