Retrieval-Augmented Generation (RAG)
A technique that retrieves relevant external information and adds it to a generative model's context before the model produces an answer.
Why it matters
RAG is a core grounding pattern for enterprise AI because answers can use current, organization-specific information rather than relying only on model training data.