upstash-vector-db-skills
✓Upstash Vector DB setup, semantic search, namespaces, and embedding models (MixBread preferred). Use when building vector search features on Vercel.
Installation
SKILL.md
When using an embedding model in the index, text is embedded automatically:
Namespaces partition a single index into isolated subsets. Useful for multi-tenant or multi-domain apps.
Upstash Vector DB setup, semantic search, namespaces, and embedding models (MixBread preferred). Use when building vector search features on Vercel. Source: gocallum/nextjs16-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/gocallum/nextjs16-agent-skills --skill upstash-vector-db-skills Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/gocallum/nextjs16-agent-skills --skill upstash-vector-db-skills- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is upstash-vector-db-skills?
Upstash Vector DB setup, semantic search, namespaces, and embedding models (MixBread preferred). Use when building vector search features on Vercel. Source: gocallum/nextjs16-agent-skills.
How do I install upstash-vector-db-skills?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/gocallum/nextjs16-agent-skills --skill upstash-vector-db-skills Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/gocallum/nextjs16-agent-skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01