RAG (Retrieval-Augmented Generation)
A technique in which a model retrieves relevant documents at answer time and uses them to generate a grounded response, often with citations.
Written by Anup Srivastava · Updated
Short answer
What is RAG?
A technique in which a model retrieves relevant documents at answer time and uses them to generate a grounded response, often with citations.
Why it matters
RAG (Retrieval-Augmented Generation) is part of how search is shifting from ranked links to understood, generated answers. Knowing the term helps you decide where to invest in visibility.
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