AI glossary Models & Architecture
What is RAG?
RAG (Retrieval-Augmented Generation)
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Retrieve relevant documents and use them as context to generate the answer.
Explained
RAG augments LLM generation with retrieved documents. Given a query, the system fetches relevant passages from a knowledge base, then passes them to the LLM as context. This grounds answers and reduces hallucinations.
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