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RAG System Design Review

Review a retrieval-augmented design for quality, security and cost.

What you get: A review covering chunking, retrieval, grounding, evals and tenant isolation.

input
output — Claude / ChatGPT
Review my RAG design. Use case: {{use_case}}. Corpus: {{corpus}} (size, types, update rate). Users and tenancy: {{tenancy}}. Current design: {{design}}.

Assess and recommend on: chunking and metadata; embedding model choice and re-embedding plan; hybrid retrieval and reranking; filters for tenant isolation (security); grounding prompt and citation format; handling no-answer cases; freshness and deletion; evaluation (golden set, recall@k, faithfulness); latency and cost; and failure modes. Give a prioritized list of 10 improvements with the metric each should move.