RAG: Grounded Answers That Respect Permissions

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Enterprise retrieval-augmented generation explained: the request path from question to grounded answer, permission checks before the model sees anything, citations as pointers rather than proof, safe declining, prompt injection defences, bilingual evaluation and when RAG is the wrong tool.

A little perspective. A lot of possibility.30 articles · Arabic & English

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Illustration: retrieved document passages meet a permission gate. Two pass into the model's context and support a cited answer; restricted passages stop at the lock.

AI engineering22 Jan 2026

Enterprise RAG: Grounded Answers That Respect Permissions

Enterprise RAG searches your own documents when a question arrives and gives the most relevant passages to a language model as context. Built well, it checks permissions before the model sees anything, cites what it used and declines when nothing it may use supports an answer.

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Enterprise RAG: Grounded Answers That Respect Permissions