@daffy0208/rag-implementer
Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, vector stores, retrieval pipelines, and evaluation.
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Bill of Materials
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To add a demo, ask your AI agent: "Submit a demo for @daffy0208/rag-implementer"
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