Agentic RAG: What It Is, Why Teams Use It, and Where It Gets Complicated

Retrieval-Augmented Generation changed how many teams think about enterprise AI. Instead of asking a model to answer from memory, we give it access to relevant documents, policies, tickets, manuals, contracts, knowledge articles, or records. The idea is simple: retrieve useful context, place it in the prompt, and ask the model to answer based on that evidence. That pattern works surprisingly well. Until it does not. The moment questions become multi-step, ambiguous, source-dependent, or evidence