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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: August 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.

Related terms
Agentic AIVector DatabaseLarge Language Model (LLM)
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