- Introduction and Type Annotation
- Elements
- Hello World Graph
- Multiple Inputs Graph
- Conditional Graph
- Simple AI Agent Bot
- Agent with Conversation History
- Reasoning and Acting (ReAct) Agent
- Task List Assistant Agent
- RAG Agent
LangGraph Crash Course: Build AI Agents with Python
Learn LangGraph the fast, practical way by building real projects from your very first chapter. This hands-on guide cuts out the fluff and walks you step-by-step from simple graphs to powerful AI agents like ReAct and RAG. If you prefer learning by doing, this book will get you up and running quickly without overwhelming you.
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About
About the Book
In this book, we take you on a fun, hands-on and pragmatic journey to learning LangGraph. You'll start building your first graph within minutes. Every chapter is written in a bite-sized manner and straight to the point as I don’t want to waste your time (and most certainly mine) on the content you don't need.
In the course of this book, we will cover:
- Introduction and Type Annotation
- Elements
- Hello World Graph
- Multiple Inputs Graph
- Conditional Graph
- Simple AI Agent Bot
- Agent with Conversation History
- Reasoning and Acting (ReAct) Agent
- Task List Assistant Agent
- RAG Agent
The goal of this book is to teach you LangGraph in a manageable way without overwhelming you. We focus only on the essentials and cover the material in a hands-on practice manner for you to code along.
Working Through This Book
This book is purposely broken down into short chapters where the development process of each chapter will center on different essential topics. The book takes a practical hands on approach to learning through practice. You learn best when you code along with the examples in the book.
Author
About the Author
Greg Lim
Greg Lim is a technologist and author of several programming books. Greg has many years in teaching programming in tertiary institutions and he places special emphasis on learning by doing.
Follow him on twitter.com/greglim81
Contents
Table of Contents
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