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Training

retrieval augmented generation

Retrieval-augmented generation (RAG) grounds answers on retrieved documents instead of parametric memory alone.

Expanded definition

retrieval augmented generation shows up constantly when teams ship LLM features. Practically, it influences how you design prompts, evaluate quality, and reason about failure modes. Teams should document how retrieval augmented generation manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.

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