Verificar estado da encomenda

Faça parte de uma comunidade de amantes de livros de todo o mundo e tenha acesso a uma série de benefícios. Crie uma conta gratuitamente

Correio DHL 7.99 € Correio DPD 4.49 € Ponto DPD 3.99 € Correio GLS 5.49 € Correio MRW 5.49 € Ponto GLS 4.49 €

Contacto

Como comprar

Ajuda

A minha conta

▸ Vazio :-(

LangGraph - managing AI Agents

Name: LangGraph - managing AI Agents
Brand: Amazon Digital Services LLC - Kdp
SKU: 47226999
Price: 16.68 EUR
Availability: InStock
Author: Daniel Nastase
ISBN: 9798300423896

Daniel Nastase

Língua

Inglês

Livro Capa mole

Código Libristo: 47226999

Editoras Amazon Digital Services LLC - Kdp, novembro 2024

Get to grips with the LangGraph framework from theory to production-ready applications. Code example... Descrição completa

Código Libristo: 47226999

40 b

16.68 €

Armazenamento externo Envio em 14-21 dias

Até 30 dias para devoluções

Os clientes também compraram

Promise (Spanish Edition)/ Promise (Spanish Edition) Griffiths

Capa mole

18.50 €

Franzosen, noch eine Anstrengung, wenn ihr Republikaner sein wollt Donatien A. Fr. Marquis de Sade

Capa mole

9.50 €

LAS VENAS ABIERTAS DE AMERICA LATINA GALEANO

Capa mole

24.37 €

Báje, rituály a zvyky starých Slovanů 2.díl Josef Růžička

Capa mole

12.03 €

Les 100 fiches pratiques de l'apiculteur Gilles Fert

Capa mole

26.19 €

Défi 3 - Livre de l'élève - Éd. hybride collegium

Capa mole

25.38 €

One Piece - Édition originale - Tome 12 Eiichiro Oda

Capa mole

10.00 €

LES DEUX VENGEANCES DU ROI HENRI Nogues

Capa mole

14.25 €

Biblia Reina Valera 1960 Letra Grande Reina Valera Revisada 1960

Livro de capa dura

14.76 €

Smetiště vzpomínek Václav Vogl

binding.

3.63 €

Lecciones de derecho administrativo : orden económico y sectores de referencia Agustín E. de Asís . . . [et al. ] Roig

Capa mole

51.68 €

Enlaces oracionales

Capa mole

9.20 €

Decadencia y esperanza : claves para entender este tiempo Rafael Gómez Pérez

Capa mole

13.24 €

Besser lügen (ertragen) mit Psychologie Carl-Heinz Scharpegge

Capa mole

20.22 €

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 can solve very complex situations and that's why 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).

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
Multimodal Agents (using video and audio)

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.

Latest updates to the book:

24 Mar 2025: added 2 brand new chapters one on Multi Modal AI Agents (text and audio) and the other one on ReAct AI agents
15 Jan 2025: various typos and extra code samples
04 Dec 2024: added the Multi AI Agent Orchestration chapter

Let's start learning!