RAG Implementation Skill 🧠

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Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases. Covers Pinecone, Weaviate, Chroma, embeddings, retrieval strategies, reranking, and hybrid search.

Source
wshobson/agents
Added
2024-12-24

How to Use This Skill

  1. Click "View SKILL.md" to see the full skill definition
  2. Copy the contents of the SKILL.md file
  3. In Claude, go to Project Knowledge and paste the skill
  4. Start a new conversation and Claude will use the skill automatically

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