RAG

RAG (retrieval-augmented generation) fetches relevant documents or records before the model answers, so responses ground in your content rather than memory alone. It needs clean retrieval, permissions, and evaluation — not only a vector database. Bad RAG confidently cites the wrong file.

Why it matters to your operation

RAG is how private knowledge becomes usable without training a new model.

Related terms

• Vector database
• Embedding

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Data governance practice

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