LangGraph - managing AI Agents: A Beginner's Guide (Paperback) (ISBN-13: 9798300423896)

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 times
• a 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.

What's Inside:

• AI Agents Introduction
• LangGraph Fundamentals
• Nodes, Edges, and Graphs in LangGraph
• Building Your First AI Agent
• Tool Calling and Functions
• AI Agents and Tools
• Using Stateful Graphs
• Threads in LangGraph
• ReACT Agents
• Human in the Loop
• Adding Interruptions
• Managing Permissions in the Graph State
• Multi Agent Systems

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!

Author: Daniel Nastase
ISBN-13: 9798300423896
Publisher: Independently Published
Language: English
Published: 11/18/2024
Pages: 126
Format: Paperback
Weight: 0.51lbs
Size: 9.25h x 7.50w x 0.27d