AI & Tech
RAG
Retrieval-Augmented Generation
A pattern that grounds an LLM in retrieved documents instead of relying only on training data.
Definition
What it actually means.
RAG enables LLMs to answer over private or up-to-date data without retraining. Architecture: embed documents → vector search → top-k retrieve → inject into LLM prompt → generate. The most common production AI pattern in enterprise.
Related terms
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