Summary
Solid foundation for building RAG systems that actually work in production. Covers the essential stack: vector databases like Pinecone and Chroma, embedding models including Anthropic's recommended voyage-3-large, and retrieval strategies from basic semantic search to advanced patterns like HyDE and parent document retrieval. The LangGraph examples show real implementation patterns, not toy demos. Includes hybrid search with BM25 plus embeddings, multi-query retrieval for better recall, and contextual compression to reduce noise. If you're building document Q&A, chatbots with external knowledge, or trying to reduce hallucinations with grounded responses, this covers the techniques that matter.
Install to Claude Code
npx -y skills add wshobson/agents --skill rag-implementation --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
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Featured
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
