RAG
Retrieval-augmented generation. The model retrieves documents at question time and writes an answer grounded in them.
What RAG means
Under RAG your page competes to be RETRIEVED, which is a different problem from being in the training data.
Terms this definition uses
Related terms in Answer engines and retrieval
How a generated answer gets made, and what your page is competing for inside it.
AEO · GEO · AI visibility score · share of voice · prompt set · brand mention · grounding · training data · embedding · chunking · context window · token · hallucination · refusal · AI Overview · answer engine · citation · retrieval · hallucinated attribution · Hybrid search · Re-ranking · Passage ranking · Query fan-out · Chunk boundary · BM25 · cross-encoder · AI Mode · information gain · dense retrieval
Questions about RAG
What is RAG?
Retrieval-augmented generation. The model retrieves documents at question time and writes an answer grounded in them.
Which area of the glossary does RAG belong to?
Answer engines and retrieval: How a generated answer gets made, and what your page is competing for inside it.
← brand mention · grounding →
See it in the full glossary · 772 terms across 19 areas.
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