Agent Skills: rag-implementation

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.

UncategorizedID: wshobson/agents/rag-implementation

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wshobsonLicense: MIT
39,5404,213

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pnpm dlx add-skill https://github.com/wshobson/agents/rag-implementation

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