LangGraph 101 - Building Intelligent AI Agents with Graphs

Explore the powerful capabilities of LangGraph, a specialized LangChain-built library for creating intelligent AI agents using graph-based structures. Learn how to construct more advanced and flexible AI agents compared to the core LangChain library in this 32-minute tutorial. Dive into the world of agentic state machines and discover how to build agents with LangGraph and OpenAI. Follow along as the video covers topics such as graphs in LangGraph, complex agent creation, graph state management, agent node implementation, and techniques for forcing specific LLM outputs. Gain hands-on experience in building and using agent graphs, and understand the key differences between LangGraph and LangChain. Access the provided code repository to practice and expand your skills in developing sophisticated AI agents.

Intro to LangGraph
Graphs in LangGraph
More Complex LangGraph Agent
LangGraph Graph State
LangGraph Agent Node
Forcing a Specific LLM Output
Building the Graph
Using our Agent Graph
LangGraph vs LangChain