Glossary · Technical concept
Retrieval-Augmented Generation (RAG)
An architecture that augments a generative model's output by retrieving relevant context from an external corpus at inference time. Reduces hallucination by grounding the model in verifiable sources but introduces its own risks (corpus poisoning, retrieval bias, source-citation correctness).
Framework references
- NIST AI 600-1