@wshobson/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.
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To add a demo, ask your AI agent: "Submit a demo for @wshobson/rag-implementation"
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