using-vector-databases
From the author
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.
Install
npx skills add ancoleman/ai-design-components --skill using-vector-databases -a claude-code
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Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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