TLDR/Teaser: Retrieval-Augmented Generation (RAG) is the go-to method for feeding external knowledge into Large Language Models (LLMs). But traditional RAG has its pitfalls—like irrelevant search results and LLMs ignoring critical context. Enter Agentic RAG: a smarter, more strategic approach that empowers AI to reason about where and how to retrieve information. This post explores why…