Catalog explanation
RAG is useful when the answer should be grounded in current or private content. The retrieval layer selects relevant records or chunks, and the generation layer uses that context to produce the response.
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Cisco catalog question
RAG
Which description best captures retrieval-augmented generation in an AI application?
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A
Compressing GPU tensors so a model can fit into less accelerator memory
B
Replacing a language model with a rules engine for deterministic responses