LangGraph Template: Multi-Agent RAG Research

This video provides a walkthrough of constructing a RAG (Retrieval-Augmented Generation) research agent utilizing LangGraph and LangGraph Studio. Key features include a multi-agent system where one agent is responsible for routing the research task, enhancing modularity and efficiency. The tutorial is ideal for developers and researchers interested in leveraging LangGraph for advanced AI applications, particularly in scenarios requiring complex information retrieval and generation workflows. Use cases include automated research, intelligent chatbots, and knowledge base construction.