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RAG (Retrieval-Augmented Generation)

An AI architecture that lets a large language model retrieve external information at query time and incorporate it into the generated response. The mechanism behind every modern answer engine.

An AI architecture that lets a large language model retrieve external information at query time and incorporate it into the generated response. The technical mechanism behind every modern answer engine — Perplexity, ChatGPT search, Claude with web access, Gemini grounding. RAG is what turns a static LLM into a live citation machine — and the reason Citation Share is a measurable, manageable asset.

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