Glossary
RAG (retrieval-augmented generation)
Making AI answer from your documents instead of its memory, with citations.
Retrieval-augmented generation connects a language model to your knowledge: before answering, the system retrieves relevant passages from your documents (via embeddings and search), then generates an answer grounded in those passages with citations. RAG is how businesses get accurate, current, permission-aware answers instead of plausible guesses, and it is the architecture behind enterprise knowledge assistants.
Example from practice
Ask your HR assistant about parental leave and it quotes the actual policy document, paragraph and all, instead of generalizing from internet averages.
Related terms
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