Designs end-to-end retrieval-augmented generation (RAG) systems by making principled choices for chunking, embeddings, vector indexing, retrieval, reranking, prompt assembly, and offline evaluation. Use this skill when the user wants to build or improve a RAG pipeline, asks about chunking strategy,
Designs end-to-end retrieval-augmented generation (RAG) systems by making principled choices for chunking, embeddings, vector indexing, retrieval, reranking, prompt assembly, and offline evaluation. Use this skill when the user wants to build or improve a RAG pipeline, asks about chunking strategy, embedding model selection, hybrid search, reranking, "my retrieval is bad / hallucinating / missing
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