What is RAG, in one sentence?
Retrieval-Augmented Generation combines a search step with a language model: retrieve relevant documents from a knowledge base, insert them into the prompt as context, and let the LLM generate an answer grounded in that retrieved text instead of relying purely on what it memorized during training.
Answered in
RAG vs Agentic RAG: Why Retrieval Needed to Become a DecisionTraditional RAG retrieves once and answers. Agentic RAG lets the system decide what to retrieve, from where, and whether the first answer was even good enough.
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