Enterprise: Secure RAG over Data Lakes

Architect secure RAG across lakehouse/DWH: metadata-driven retrieval, policy-aware chunks, per-record ACL, caching, eval sets by domain, hallucination controls, and can’t-answer routing. Deliver reference pipelines and SLOs.

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Author: Tsubasa Kato

Model: GPT-5 Thinking

Category: Strategy

Tags: enterprise, RAG, security, ACL, lakehouse

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Prompt ID:
68c417f68ffa57e0c8298321

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