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LangGraphJourney

Open in Colab: 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