Build Ai Agents With Langchain Langgraph
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Build Ai Agents With Langchain Langgraph
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Author : Jude Max
language : en
Publisher: Independently Published
Release Date : 2025-06-19
Build Ai Agents With Langchain Langgraph written by Jude Max and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
Unlock the true potential of Generative AI and transform your Python development skills! This definitive guide empowers you to move beyond basic LLM prompts and build intelligent, autonomous AI Agents that think, act, and solve complex problems. "Build AI Agents with LangChain & LangGraph" is your hands-on roadmap to mastering the cutting-edge frameworks that power the next generation of AI applications. Discover how to create dynamic LLM workflows capable of tool use, memory, and self-correction. Who This Book Is For: Python Developers eager to integrate advanced Large Language Models into their projects. Machine Learning Engineers seeking practical strategies for AI agent orchestration. Anyone ready to build production-ready, intelligent chatbots and automated systems. What You'll Learn & Build: Master LangChain & LangGraph Fundamentals: Design robust LLM workflows with nodes, edges, and state management. Integrate Powerful Tools: Enable your AI agents to interact with external APIs, perform web browsing, and execute code. Build Real-World AI Applications: Dive into practical case studies, including an Autonomous Research Agent and a Smart Customer Support Co-pilot. Navigate Ethical AI: Implement crucial safeguards for ethical AI, privacy, security, and human oversight. Deploy with Confidence: Learn full-stack integration, API exposure, and debugging techniques for seamless deployment. Optimize for Performance: Strategies for efficient AI development and cost-effective LLM workflows. Stop just talking to AI. Start building with it. Your journey to creating powerful, intelligent AI agents begins here!
Building Ai Agents With Crewai Langchain And Langgraph
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Author : NATHANIEL. CROSSFIELD
language : en
Publisher: Independently Published
Release Date : 2025-04-04
Building Ai Agents With Crewai Langchain And Langgraph written by NATHANIEL. CROSSFIELD and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-04 with Technology & Engineering categories.
Building AI Agents with CrewAI, LangChain, and LangGraph: Automating Workflows with Multi-Agent Systems and Generative AI AI-powered automation is revolutionizing industries, and multi-agent systems are at the forefront of this transformation. CrewAI, LangChain, and LangGraph enable developers to build sophisticated, autonomous AI agents capable of handling complex tasks, orchestrating workflows, and making intelligent decisions. As businesses and developers race to integrate AI-driven solutions, mastering these tools is essential to staying ahead in the rapidly evolving AI landscape. This book is written by Nathaniel Crossfield, a recognized expert in AI automation, large language models (LLMs), and AI agent orchestration. With years of experience in AI development and real-world applications, Nathaniel provides in-depth insights, practical examples, and best practices to help developers harness the full potential of CrewAI, LangChain, and LangGraph. Building AI Agents with CrewAI, LangChain, and LangGraph is your ultimate guide to mastering AI agent development and automation. This book takes you from the fundamentals to advanced implementations, providing hands-on projects and real-world case studies. Whether you're building chatbots, AI-driven assistants, or complex automation workflows, this book equips you with the knowledge and skills to design, deploy, and optimize AI agents effectively. What's Inside: Introduction to AI agent frameworks: CrewAI, LangChain, and LangGraph Step-by-step guide to building and deploying multi-agent AI systems Techniques for improving AI reasoning, memory, and decision-making Integration with LLMs, APIs, and real-world data sources Advanced strategies for AI collaboration, automation, and scalability Real-world applications, case studies, and best practices This book is for AI developers, software engineers, data scientists, and tech entrepreneurs looking to leverage AI automation for productivity, efficiency, and innovation. Whether you're a beginner exploring AI agents or an experienced developer seeking advanced techniques, this book provides actionable insights and practical implementations to help you succeed. AI is evolving faster than ever, and those who master AI automation now will lead the future of intelligent systems. Companies are rapidly adopting AI-driven workflows, and understanding multi-agent systems is a game-changer. Don't get left behind-stay ahead of the AI revolution with this book. Get your copy of Building AI Agents with CrewAI, LangChain, and LangGraph today and start building the next generation of AI automation. Whether you're creating AI-powered chatbots, streamlining enterprise workflows, or developing autonomous AI systems, this book will give you the expertise you need to succeed. Start building intelligent AI agents now!
Building Generative Ai Agents
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Author : Tom Taulli
language : en
Publisher: Springer Nature
Release Date : 2025-06-15
Building Generative Ai Agents written by Tom Taulli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.
The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the knowledge and tools necessary to build generative AI agents using the most popular frameworks, such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack. Recent breakthroughs in large language models have opened up unprecedented possibilities. After years of gradual progress in machine learning and deep learning, we are now witnessing novel approaches capable of understanding, reasoning, and generating content in ways that promise to revolutionize nearly every industry. This platform shift is as significant as the advent of mainframes, PCs, cloud computing, mobile technology, and social media. It’s why the world’s largest technology companies – like Microsoft, Apple, Google, and Meta – are making enormous investments in this category. While chatbots like ChatGPT, Claude, and Gemini have demonstrated remarkable potential, the years ahead will see the rise of generative AI agents capable of executing complex tasks on behalf of users. These agents already exhibit capabilities such as running test suites, searching the web for documentation, writing software, answering questions based on vast organized information, and performing intricate web-based tasks across multiple domains. They can autonomously investigate cybersecurity incidents and address complex customer support needs. By integrating skills, knowledge bases, planning frameworks, memory, and feedback loops, these systems can handle many tasks and improve over time. Building Generative AI Agents serves as a high-quality guide for developers to understand when and where AI agents can be useful, their advantages and disadvantages, and practical advice on designing, building, deploying, and monitoring them. What You Will Learn The foundational concepts, capabilities, and potential of AI agents. Recent innovations in large language models that have enabled the development of AI agents. How to build AI agents for launching a product, creating a financial plan, handling customer service, and using Retrieval Augmented Generation (RAG). Essential frameworks for building generative AI agents, including AutoGen, LangChain, LangGraph, CrewAI, and Haystack. Step-by-step guidance on designing, building, and deploying AI agents. Insights into the future of AI agents and their potential impact on various industries. Who This Book Is For Experienced software developers
Building Agentic Ai Systems
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Author : Anjanava Biswas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-21
Building Agentic Ai Systems written by Anjanava Biswas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Computers categories.
Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems Key Features Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems Explore crucial aspects of trust, safety, and ethics in AI agent development and applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learn Master the core principles of GenAI and agentic systems Understand how AI agents operate, reason, and adapt in dynamic environments Enable AI agents to analyze their own actions and improvise Implement systems where AI agents can leverage external tools and plan complex tasks Apply methods to enhance transparency, accountability, and reliability in AI Explore real-world implementations of AI agents across industries Who this book is for This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.
Building Generative Ai Agents
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Author : Tom Taulli
language : en
Publisher:
Release Date : 2025
Building Generative Ai Agents written by Tom Taulli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Generative Ai With Local Llm
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Author : Timur Isachenko
language : en
Publisher: Timur Isachenko
Release Date : 2024-10-04
Generative Ai With Local Llm written by Timur Isachenko and has been published by Timur Isachenko this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Computers categories.
A comprehensive roadmap for building AI-Driven applications with local LLMs
Mastering Langgraph Ai Agents
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Author : Brian Pitman
language : en
Publisher: Independently Published
Release Date : 2025-01-19
Mastering Langgraph Ai Agents written by Brian Pitman and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-19 with Computers categories.
Book Description: Are you ready to transform the way you build AI systems? Mastering LangGraph AI Agents: Harnessing LangChain, LLMs, and AI to Create Intelligent, Adaptive Agents for the Future is your ultimate guide to designing cutting-edge AI agents that think, learn, and adapt to real-world challenges. This comprehensive book takes you step-by-step through the powerful combination of LangGraph, LangChain, and large language models (LLMs) to create intelligent workflows that redefine automation and innovation. Whether you're a developer, data scientist, or AI enthusiast, this book provides the practical knowledge and actionable insights you need to excel in today's fast-evolving AI landscape. What You'll Learn: Build Intelligent AI Agents: Master the art of designing adaptive, stateful workflows with LangGraph and LangChain. Leverage the Power of LLMs: Unlock the capabilities of GPT-like models to create smarter, more context-aware systems. Scale Seamlessly: Develop scalable workflows that meet the demands of real-world applications, from customer support to healthcare and beyond. Integrate and Innovate: Connect APIs, manage multi-agent collaborations, and integrate human-in-the-loop systems for enhanced results. Stay Ahead of the Curve: Explore future trends in AI agent design, including multi-modal capabilities, reinforcement learning, and continuous improvement. Packed with practical examples, code illustrations, and real-world applications, this book is perfect for anyone looking to harness the transformative potential of intelligent agents. Why This Book? AI agents are reshaping industries, and Mastering LangGraph AI Agents equips you with the tools to stay ahead. By the time you finish, you'll not only understand how to build groundbreaking AI systems-you'll have the skills to lead the future of AI innovation. Step into the next era of AI development. Order your copy today and start creating agents that revolutionize industries and redefine possibilities.
Generative Ai With Langchain
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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-23
Generative Ai With Langchain written by Ben Auffarth and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applications Key Features Bridge the gap between prototype and production with robust LangGraph agent architectures Apply enterprise-grade practices for testing, observability, and monitoring Build specialized agents for software development and data analysis Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on multi-agent architectures, robust LangGraph workflows, and advanced retrieval-augmented generation (RAG) pipelines. You'll explore design patterns for building agentic systems, with practical implementations of multi-agent setups for complex tasks. The book guides you through reasoning techniques such as Tree-of -Thoughts, structured generation, and agent handoffs—complete with error handling examples. Expanded chapters on testing, evaluation, and deployment address the demands of modern LLM applications, showing you how to design secure, compliant AI systems with built-in safeguards and responsible development principles. This edition also expands RAG coverage with guidance on hybrid search, re-ranking, and fact-checking pipelines to enhance output accuracy. Whether you're extending existing workflows or architecting multi-agent systems from scratch, this book provides the technical depth and practical instruction needed to design LLM applications ready for success in production environments.What you will learn Design and implement multi-agent systems using LangGraph Implement testing strategies that identify issues before deployment Deploy observability and monitoring solutions for production environments Build agentic RAG systems with re-ranking capabilities Architect scalable, production-ready AI agents using LangGraph and MCP Work with the latest LLMs and providers like Google Gemini, Anthropic, Mistral, DeepSeek, and OpenAI's o3-mini Design secure, compliant AI systems aligned with modern ethical practices Who this book is for This book is for developers, researchers, and anyone looking to learn more about LangChain and LangGraph. With a strong emphasis on enterprise deployment patterns, it’s especially valuable for teams implementing LLM solutions at scale. While the first edition focused on individual developers, this updated edition expands its reach to support engineering teams and decision-makers working on enterprise-scale LLM strategies. A basic understanding of Python is required, and familiarity with machine learning will help you get the most out of this book.
Ai Agents In Practice
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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-28
Ai Agents In Practice written by Valentina Alto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-28 with Computers categories.
Master the art of building AI agents with this hands-on guide to orchestration, multi-agent systems, real-world case studies, and ethical insights to drive immediate business impact Key Features Build production-ready AI agents with hands-on tutorials for diverse industry applications Explore multi-agent system architectures with practical frameworks for orchestrator comparison Future-proof your AI development with ethical implementation strategies and security patterns Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs AI agents evolve to take on complex tasks and operate autonomously, you need to learn how to build these next-generation systems. Author Valentina Alto brings practical, industry-grounded expertise in AI Agents in Practice to help you go beyond simple chatbots and create AI agents that plan, reason, collaborate, and solve real-world problems using large language models (LLMs) and the latest open-source frameworks. In this book, you'll get a comparative tour of leading AI agent frameworks such as LangChain and LangGraph, covering each tool's strengths, ideal use cases, and how to apply them in real-world projects. Through step-by-step examples, you’ll learn how to construct single-agent and multi-agent architectures using proven design patterns to orchestrate AI agents working together. Case studies across industries will show you how AI agents drive value in real-world scenarios, while guidance on responsible AI will help you implement ethical guardrails from day one. The chapters also set the stage with a brief history of AI agents, from early rule-based systems to today's LLM-driven autonomous agents, so you understand how we got here and where the field is headed. By the end of this book, you'll have the practical skills, design insights, and ethical foresight to build and deploy AI agents that truly make an impact.What you will learn Build core agent components such as LLMs, memory systems, tool integration, and context management Develop production-ready AI agents using frameworks such as LangChain with code Create effective multi-agent systems using orchestration patterns for problem-solving Implement industry-specific agents for e-commerce, customer support, and more Design robust memory architectures for agents with short- and long-term recall Apply responsible AI practices with monitoring, guardrails, and human oversight Optimize AI agent performance and cost for production environments Who this book is for This book is ideal for AI engineers and data scientists looking to move beyond basic LLM implementations to build sophisticated autonomous agents. Software developers and system architects will find practical guidelines for integrating agents into existing tech stacks. Product managers and technical entrepreneurs will gain strategic insights into how AI agents can solve business problems across industries. A basic understanding of machine learning concepts and working knowledge of Python are required to make the most of this book and implement production-ready AI agent systems.
Build Your Own Ai
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Author : Sebastian Wessel
language : en
Publisher: Sebastian Wessel
Release Date : 2024-11-05
Build Your Own Ai written by Sebastian Wessel and has been published by Sebastian Wessel this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
This comprehensive guide takes you through the journey of creating practical AI applications from scratch, focusing on real-world examples and hands-on techniques to build custom chatbots and AI agents. Inspired by real projects, this book is designed to empower developers with the skills to create their own AI tools, regardless of the model, provider, or programming language. This book does not focus on one provider, language, or framework. This way, you can use what you learn in different situations. We will use free models to learn how to build real-world AI applications. By the end of the book, you will understand how to work with large language models, no matter which model, provider, or programming language you use.