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RAG vs. Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, Editors Pick, RAG, Staff, Technology

Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands—or even millions—of tokens, it’s easy to assume that Retrieval-Augmented Generation (RAG) is no longer necessary. If you can fit an entire codebase or documentation library into the context window,

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