Building Agentic RAG with LlamaIndex

Join our new short course and learn from Jerry Liu, co-founder and CEO at LlamaIndex to start using agentic RAG, a framework designed to build research agents skilled in tool use, reasoning, and decision-making with your data. In this course: 1. Build the simplest form of agentic RAG – a router. Given a query, the router will pick one of two query engines, Q&A or summarization, to execute a query over a single document. 2. Add tool calling to your router agent where you will use an LLM to not only pick a function to execute but also infer an argument to pass to the function. 3. Build a researc