Retrieval-Augmented Generation (RAG)
RAG is the process AI search tools use to find relevant web pages for a question, then feed those pages to the language model so it can write an answer with real sources attached.
The short answer
RAG is the process AI search tools use to find relevant web pages for a question, then feed those pages to the language model so it can write an answer with real sources attached.
Full explanation
Instead of answering purely from what it learned in training, a RAG system converts your question into a search, pulls back a handful of matching passages from the web, and asks the model to summarize them with citations. This is why a page has to be crawlable and clearly written to be cited at all — if it's never retrieved, it can never be quoted.
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