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Glossary

Definition

Retrieval-augmented generation (RAG)

RAG is an architecture that grounds an AI model's answers in your own retrieved documents, improving accuracy over the model's built-in knowledge.

RAG reduces hallucination but adds data-governance questions: what gets indexed, who can retrieve it, and whether access controls carry through to the answers. Treat the retrieval layer as part of your security and privacy perimeter.

Go deeperHow to evaluate an AI or LLM vendor

Related terms

Token-based pricingEU AI ActISO 42001Agentic AI
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