LangGraph – managing AI Agents: A Beginner’s Guide
$17.99
Price: $17.99
(as of Nov 19, 2024 00:40:57 UTC – Details)
Get to grips with the LangGraph framework from theory to production-ready applications. Code examples are regularly updated to keep you abreast of the latest LangGraph and LangChain changes.
Purchase of the print or Kindle book includes a free PDF eBook and all code samples.
AI agents are here to stay, and LangGraph makes it easy to build them and harness their capabilities!
Today’s Large Language Models (LLMs) are impressive, but let’s be real. These LLMs are still primarily just sophisticated text processors.
AI Agents are LLMs on steroids. The anatomy of an agent consists of:
AI_AGENT = LLM + MEMORY + TOOLS + PLANNING + DO_WHILE_LOOP
The LangGraph framework is an excellent tool for implementing and orchestrating all of these components.
Simply put, AI agents are LLMs with tools, that operate in a loop to accomplish specific goals.
You can assign them tasks such as:a calendar manager to schedule and manage appointments, send reminders, and suggest optimal meeting timesa personal AI Agent assistant to organize trips, book hotels and plane tickets for a destination in a given budget.These are much closer to the capabilities we expect from real AI.
AI Agents can solve very complex situations thus clear communication is essential to achieve the desired results.
This is where LangGraph excels. Communicating with LLMs via code leads to far more reliable results than using only natural language (prompt engineering).
In this book, we’ll take you on a fun, hands-on journey where each chapter will focus on essential concepts like tool management or human in the loop validation, while also coding practical implementations of these elements using LangGraph.
You can see this book as your launchpad. You’ll build your first AI Agent within minutes, and slowly become competent and knowledgeable in this technology, with each chapter featuring a full practical example.
Let’s start learning!
ASIN : B0DM2GQ362
Publication date : November 4, 2024
Language : English
File size : 4514 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 69 pages
5 reviews for LangGraph – managing AI Agents: A Beginner’s Guide
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Ishan –
Crash course on building AI Agents & LangGraph
This book is a must-read if you’re looking to dive into the world of AI agents with LangGraph. It’s from the same author as “LangChain for JavaScript Developers” but you don’t need to have read his first book. In fact, what’s great is that this book doesn’t assume any LangChain background.While LangChain is the better known cousin to LangGraph, LangGraph is a completely different framework specifically designed for AI agent development. This is precisely where the AI engineering space is trending which makes this book all the more useful.The examples are easy to follow without being too trivial. And it quickly covers the essential aspects of building AI agents: managing conversation threads, stateful graphs, tool calling and human-in-the-loop mechanisms.If you want to build AI Agents you don’t need to learn LangChain! You can skip straight to LangGraph and this book quickly to get started.
Dumitru Glavan –
Clear instructions and great examples
Clear instructions and covers many cases I needed. The book is short and to the point. Used it for a LangGraph project we started at work and it was useful.
Ãkos K. –
Clear introduction to LangGraph
This is a short and practical book that has everything you need to get started with LangGraph. A ton of code examples and clear explanations from Daniel.
Tudor –
I think this book is a good starting point for anyone who wants to improve their knowledge in this domain. It contains code examples, diagrams, and explanations to make the journey easier.
chirila marius –
This book does a good job of explaining the concepts with clear code samples and examples. Using it as a guide, I was able to implement a few AI agents easily. Highly recommend!