AI Glossary
What is RAG?
Overview
RAG, or Retrieval-Augmented Generation, is a pattern where an AI system retrieves relevant documents before generating an answer. It matters because retrieval can ground responses in current or private information, reducing hallucination risk when the model alone lacks the needed context.
Why it matters
RAG remains a core enterprise AI pattern because most useful answers depend on private, changing, or source-linked data.
Where it appears in AI research
- Enterprise AI search
- Knowledge-base assistants
- Source-grounded chatbots
- AI infrastructure architectures
Related terms
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