AI Glossary
Retrieval-Augmented Generation (RAG)
RAG is a technique that grounds an AI model's answers in your own data. Before responding, the system retrieves relevant documents from a knowledge base and feeds them to the model — producing accurate, source-cited answers instead of generic or hallucinated ones.
Last updated: June 2026
RAG is the backbone of trustworthy enterprise AI. It lets an assistant answer from your policies, products and documents while citing where each answer came from.
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