A pattern that grounds model answers in retrieved documents or knowledge bases.
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AI Glossary
Retrieval-Augmented Generation (RAG)
A pattern that grounds model answers in retrieved documents or knowledge bases.
Simple explanation
RAG means the AI looks up trusted documents before answering, instead of guessing from memory alone.
Technical explanation
Retrieval-Augmented Generation retrieves passages from an index, then conditions generation on those passages to ground answers.
Examples
- Policy Q&A over a handbook
- Support bot grounded in help docs
FAQs
Does RAG replace fine-tuning?
Often it is the better first step for changing facts; fine-tuning suits style and specialized behavior.
Related terms
Large Language Model (LLM)
A model trained on large text corpora to generate and transform language.
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