using-vector-databases

SKILL.md

See references/chunking-patterns.md for advanced strategies by content type.

Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns. Source: ancoleman/ai-design-components.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ancoleman/ai-design-components --skill using-vector-databases Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more

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