Retrieval-Augmented Generation
In plain words
Retrieval-augmented generation (RAG) is a technique where an AI system retrieves relevant external documents or web pages before generating a response, rather than relying only on its trained knowledge. Many AI search tools use RAG, which means a well-structured, clearly-answered page has a real chance of being retrieved and cited, even for very recent topics.
Example
A support chatbot looks up the company's own help articles first, then answers using only what it found, instead of guessing.
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