TLDR/Teaser: Retrieval Augmented Generation (RAG) is the go-to method for feeding external knowledge into Large Language Models (LLMs), but it’s not without its pitfalls. Enter Agentic RAG—a smarter, more dynamic approach that lets your AI agent reason about where and how to find the right information. In this post, we’ll break down what Agentic RAG…
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…