Agentic RAG shifts retrieval from a static preprocessing step to a tool-calling capability where agents autonomously invoke, evaluate, and repeat retrieval actions. This allows models to manage multi-step workflows and source comparisons rather than relying solely on vector database similarity searches.
HOW THIS AFFECTS YOU
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builderYou can move beyond simple vector search to build agents that actively manage their own context window.
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founderThis shifts the value proposition from database indexing to sophisticated agentic reasoning loops.