The user wants to understand Retrieval Augmented Generation in the context of LLM Security and apply it to practical AI governance or compliance work.
Retrieval Augmented Generation (RAG) is a technique that combines generative AI with retrieval from external data sources. The model uses retrieved documents, passages, or records as grounding context to produce responses that are more current, specific, and verifiable.
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