This tutorial offers a step-by-step guide to building agent applications using LangGraph, a library offered by LangChain. Starting with an overview of LangGraph and its benefits, the tutorial first explores how to make a simple graph and create nodes. It goes on to explain how to create functions and run within nodes. It also covers importing LangChain tools, binding them to the model, how to parse information from nodes, and setting up a state graph. Finally, the tutorial covers adding a conditional edge to the graph and demonstrates running the graph using user inputs.

00:00 Introduction to LangGraph
00:31 Understanding the Basics of Graphs
01:46 Exploring the LangChain Notebook
02:19 Building a Simple Graph with LangChain
04:27 Creating a Graph with LLM Call
04:56 Integrating OpenAI with LangChain
07:40 Building a More Complex Graph
19:09 Understanding Conditional Edges in LangGraph
28:11 Conclusion and Final Thoughts


Notebook link: https://github.com/menloparklab/LangG...