Agentic RAG (RAG 2.0): Why Retrieval Alone Is No Longer Enough for AI
Retrieval-Augmented Generation (RAG) was supposed to solve a big problem in AI: hallucinations.
By grounding responses in real documents, RAG made AI outputs more accurate, more contextual, and more useful for business applications. For a while, that was enough.
But as teams...












