Agentic RAG vs. Naive RAG: Why Linear Retrieval Pipelines Break on Multi-Step Queries
Retrieval-Augmented Generation earned its place in the stack the honest way: by grounding model outputs in external knowledge sources, it sharply reduced hallucinations in applications where answers had to be traceable to a document. For a while, that was the whole story.