A technique that allows an AI to search a large document collection and retrieve relevant sections before responding — rather than loading everything into the context window at once. Used in Claude Projects on paid plans to support larger knowledge bases without sacrificing response quality.
RAG
Also called: Retrieval Augmented Generation
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