LangGraphJourney

Open in Colab:

It accompanies a youtube tutorial at: https://youtu.be/R8KB-Zcynxc

LangGraph Tutorial

This tutorial provides a step-by-step guide on how to use LangGraph, a tool developed by the LangChain team to build Agent apps. LangGraph allows you to create graphs and call them, enabling you to create complex applications powered by LangChain.

Introduction

• Brief overview of LangGraph and its purpose
• Mention the availability of a blog and notebooks provided by the LangChain team for further reference

Getting Started

• Installation instructions for LangGraph using pip
• Importing the LangGraph library and initializing a workflow

Building a Simple Graph

• Explanation of the simplest graph structure with two nodes connected by an edge
• Overview of the user input and functions used in the graph
• Code examples and explanations of function one and function two

Compiling and Invoking the Graph

• Instructions on compiling the graph app
• Explanation of invoking the graph using user input
• Output examples and explanation of the graph's functionality

Making LLM Calls

• Introduction to making LLM calls in the graph
• Explanation of modifying function one to invoke an LLM model
• Instructions on installing the LangChain OpenAI package
• Steps to add the API key for making API calls

Using Tools in LangGraph

• Overview of tools available in LangGraph
• Instructions on binding a tool to the model and using tool invocation
• Code examples and explanations of tool usage in function two

Conditional Edge

• Explanation of the conditional edge in a graph
• Instructions on defining conditional behavior in the graph's functions
• Implementation of the conditional edge in the graph

Conclusion

Hope you get a good understanding of LangGraph. Reach out on Twitter if any questions