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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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