Fig.1

Concept

RAG

RAG stands for Retrieval-Augmented Generation. It is a pattern where a language model answers a query using text fetched at inference time from an external corpus, rather than relying only on what it memorized during training.

The rest of “RAG” is a premium feature: every concept in the library gets a precise, practitioner-focused write-up like this one, cross-linked straight from the paper summaries that use it.

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