RAG
Retrieval-Augmented Generation
Fetching relevant documents at query time and generating the answer from them.
RAG is the architecture behind most grounded AI answers, including AI search. The practical consequence for publishers is that retrievability is a prerequisite for citation: content that is not indexed, not parseable or not current cannot enter the context window, and content that never enters the context window is never cited.
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Every figure carries its publisher, sample and field period.