Traditional RAG vs. Agentic RAG—Why AI Agents Need Dynamic Knowledge to Get Smarter

Ever relied on an old GPS that didn’t know about the new highway bypass, or a sudden road closure? It might get you to your destination, but not in the most…

Ever relied on an old GPS that didn’t know about the new highway bypass, or a sudden road closure? It might get you to your destination, but not in the most efficient or accurate way. AI agents face a similar challenge: they often rely on static training data. This data is fixed at a point in time—while it was current when created, it can quickly become outdated. This limitation can cause…

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