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rag-accuracy-optimizer

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Optimize accuracy for RAG (Retrieval-Augmented Generation) systems. Covers: DB schema design, chunking strategies, retrieval optimization, accuracy testing, and anti-hallucination safeguards. Use when: (1) designing or improving a RAG pipeline, (2) choosing the right chunking strategy, (3) optimizing retrieval accuracy (hybrid search, reranking, multi-query), (4) evaluating chunk quality or testing accuracy, (5) setting up monitoring & safeguards for RAG production, (6) choosing SQL vs Vector DB, (7) designing metadata schemas for domain-specific data (insurance, finance, healthcare, e-commerce).

When to use

• designing or improving a RAG pipeline
• choosing the right chunking strategy
• optimizing retrieval accuracy
• evaluating chunk quality or testing accuracy
• setting up monitoring & safeguards for RAG production
• choosing SQL vs Vector DB
• designing metadata schemas for domain-specific data

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