Langgraph Js

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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.

Langgraph Js

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Author : Morgan Devline
language : en
Publisher: Independently Published
Release Date : 2024-12-18

Langgraph Js written by Morgan Devline and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.

LangGraph.js stands out as a versatile and powerful framework that empowers developers to create intelligent, real-time workflows with ease. Its seamless integration with popular libraries and its robust, open-source community make it an indispensable tool for modern web and Node.js development. In today's rapidly evolving tech landscape, the ability to design and implement intelligent, real-time workflows is a game-changer. This book bridges the gap between theoretical concepts and practical application, providing you with the tools and knowledge to create robust, scalable, and intelligent systems effortlessly. What You'll Learn: Foundations of LangGraph.js: Understand the core principles of agent-based workflows and multi-agent systems. Learn how to set up and configure LangGraph.js in both web and Node.js environments. Building Intelligent Workflows: Design and implement agent workflows to automate complex tasks. Create multi-agent systems that collaborate seamlessly to solve intricate problems. Hands-On Projects: Real-Time Chat Application: Build a smart chatbot integrated with WebSockets and frontend frameworks like React.js. IoT Monitoring Workflow: Design an agent-based system for monitoring IoT devices, processing data, and triggering alerts. E-Commerce Recommendation System: Develop a scalable, multi-agent recommendation engine to enhance user experiences. Interactive Learning: Utilize platforms like CodeSandbox and StackBlitz for hands-on coding exercises. Engage with real-time feedback and solutions to reinforce your learning. Participate in gamified challenges to make workflow design both fun and educational. Advanced Integrations: Integrate LangGraph.js with powerful libraries such as TensorFlow.js for AI tasks and D3.js for data visualization. Extend LangGraph.js by contributing to its open-source ecosystem, writing and submitting custom plugins. Future-Proof Your Skills: Explore emerging trends like decentralized AI systems and agent-based modeling in simulations. Stay ahead with insights into the LangGraph.js roadmap, upcoming features, and community-driven developments. Who This Book Is For: Web Developers: Enhance your web applications with intelligent, automated workflows. AI Enthusiasts: Leverage agent-based systems to build smarter, more autonomous applications. Tech Innovators: Stay at the forefront of emerging technologies and integrate them seamlessly into your projects. Students and Educators: Use this guide as a comprehensive resource for learning and teaching modern workflow systems. Morgan is a seasoned web developer and AI enthusiast with extensive experience in building and teaching advanced web technologies. Passionate about empowering developers, he has dedicated years to mastering agent-based systems and sharing this knowledge through comprehensive guides and hands-on projects.

Learning Langchain

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Author : Mayo Oshin
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-02-13

Learning Langchain written by Mayo Oshin and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Business & Economics categories.

If you're looking to build production-ready AI applications that can reason and retrieve external data for context-awareness, you'll need to master LangChain—a popular development framework and platform for building, running, and managing agentic applications. LangChain is used by several leading companies, including Zapier, Replit, Databricks, and many more. This guide is an indispensable resource for developers who understand Python or JavaScript but are beginners eager to harness the power of AI. Authors Mayo Oshin and Nuno Campos demystify the use of LangChain through practical insights and in-depth tutorials. Starting with basic concepts, this book shows you step-by-step how to build a production-ready AI agent that uses your data. Harness the power of retrieval-augmented generation (RAG) to enhance the accuracy of LLMs using external up-to-date data Develop and deploy AI applications that interact intelligently and contextually with users Make use of the powerful agent architecture with LangGraph Integrate and manage third-party APIs and tools to extend the functionality of your AI applications Monitor, test, and evaluate your AI applications to improve performance Understand the foundations of LLM app development and how they can be used with LangChain

Generative Ai On Google Cloud With Langchain

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Author : Leonid Kuligin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-12-20

Generative Ai On Google Cloud With Langchain written by Leonid Kuligin 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 2024-12-20 with Computers categories.

Turn challenges into opportunities by mastering advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools Key Features Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using LangChain and Vertex AI Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid transformation and enterprise adoption of GenAI has created an urgent demand for developers to quickly build and deploy AI applications that deliver real value. Written by three distinguished Google AI engineers and LangChain contributors who have shaped Google Cloud’s integration with LangChain and implemented AI solutions for Fortune 500 companies, this book bridges the gap between concept and implementation, exploring LangChain and Google Cloud’s enterprise-ready tools for scalable AI solutions. You'll start by exploring the fundamentals of large language models (LLMs) and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. This book guides you through using essential tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready GenAI applications. You'll also overcome the context limitations of LLMs by mastering advanced techniques like Retrieval-Augmented Generation (RAG) and external memory layers. Through practical patterns and real-world examples, you’ll gain everything you need to harness Google Cloud’s AI ecosystem, reducing the time to market while ensuring enterprise scalability. You’ll have the expertise to build robust GenAI applications that can be tailored to solve real-world business challenges. What you will learn Build enterprise-ready applications with LangChain and Google Cloud Navigate and select the right Google Cloud generative AI tools Apply modern design patterns for generative AI applications Plan and execute proof-of-concepts for enterprise AI solutions Gain hands-on experience with LangChain's and Google Cloud's AI products Implement advanced techniques for text generation and summarization Leverage Vertex AI Search and other tools for scalable AI solutions Who this book is for If you’re an application developer or ML engineer eager to dive into GenAI, this book is for you. Whether you're new to LangChain or Google Cloud, you'll learn how to use these tools to build scalable AI solutions. This book is ideal for developers familiar with Python and machine learning basics looking to apply their skills in GenAI. Professionals who want to explore Google Cloud's powerful suite of enterprise-grade GenAI products and their implementation will also find this book useful.

Functional Javascript

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Author : Michael Fogus
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-06-03

Functional Javascript written by Michael Fogus and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-03 with Computers categories.

How can you overcome JavaScript language oddities and unsafe features? With this book, you’ll learn how to create code that’s beautiful, safe, and simple to understand and test by using JavaScript’s functional programming support. Author Michael Fogus shows you how to apply functional-style concepts with Underscore.js, a JavaScript library that facilitates functional programming techniques. Sample code is available on GitHub at https://github.com/funjs/book-source. Fogus helps you think in a functional way to help you minimize complexity in the programs you build. If you’re a JavaScript programmer hoping to learn functional programming techniques, or a functional programmer looking to learn JavaScript, this book is the ideal introduction. Use applicative programming techniques with first-class functions Understand how and why you might leverage variable scoping and closures Delve into higher-order functions—and learn how they take other functions as arguments for maximum advantage Explore ways to compose new functions from existing functions Get around JavaScript’s limitations for using recursive functions Reduce, hide, or eliminate the footprint of state change in your programs Practice flow-based programming with chains and functional pipelines Discover how to code without using classes

Ai Agent Pydanticai

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Author : อนุชิต ชโลธร
language : th
Publisher: สำนักพิมพ์ก๊อปวาง
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Ai Agent Pydanticai written by อนุชิต ชโลธร and has been published by สำนักพิมพ์ก๊อปวาง this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

เปลี่ยนไอเดียในหัว...ให้กลายเป็น AI Agent ที่ใช้งานได้จริง! ในยุคที่ Generative AI และ Large Language Models (LLMs) กำลังเปลี่ยนแปลงโลก, นักพัฒนาทุกคนต่างมองหาเครื่องมือที่จะช่วยสร้างแอปพลิเคชันอัจฉริยะได้อย่างรวดเร็วและมีประสิทธิภาพ แต่ความท้าทายสำคัญคือการจัดการกับผลลัพธ์จาก LLM ที่มักจะ "ไร้ระเบียบ" และนำไปใช้งานต่อได้ยาก PydanticAI คือคำตอบสุดท้าย ที่จะเชื่อมโลกของ AI ที่ยืดหยุ่นเข้ากับโลกของซอฟต์แวร์ที่ต้องการความแม่นยำและโครงสร้างที่ชัดเจน หนังสือเล่มนี้ไม่ใช่แค่คู่มือการใช้ไลบรารี แต่เป็น "ตำราอาหาร" (Cookbook) ที่รวบรวม "สูตรสำเร็จ" สำหรับการสร้าง AI Agent ในทุกสถานการณ์ที่คุณต้องเจอ ตั้งแต่พื้นฐานจนถึงระดับโปรดักชัน สิ่งที่คุณจะได้เรียนรู้จากหนังสือเล่มนี้ - เริ่มต้นอย่างมั่นคง: ทำความเข้าใจปัญหาของ LLM และเรียนรู้ว่า PydanticAI เข้ามาแก้ปัญหาได้อย่างไร พร้อมสร้าง Agent ตัวแรกของคุณในไม่กี่นาที - เครื่องมือครบมือ: สร้าง Tools ให้ Agent ของคุณสามารถเชื่อมต่อกับ API ภายนอก, ทำงานกับฐานข้อมูล (SQL) หรือแม้กระทั่งทำงานร่วมกับ Agent อื่นๆ - สร้าง Chatbot อัจฉริยะ: เรียนรู้วิธีสร้าง Chatbot ที่จดจำบทสนทนาและมีบุคลิก (Persona) ที่น่าสนใจ- ระบบถาม-ตอบ (RAG) จากเอกสารของคุณ: สอนให้ Agent เรียนรู้และตอบคำถามจากข้อมูลเฉพาะทาง, เอกสารภายในองค์กร หรือไฟล์ PDF ของคุณเอง - สถาปัตยกรรมขั้นสูง (Multi-agent & Graphs): ออกแบบระบบที่ซับซ้อนให้ Agent หลายตัวทำงานร่วมกันอย่างเป็นระบบผ่าน Workflow และ Graph - เชื่อมต่อกับโลกภายนอก (A2A & AG-UI Protocols): เรียนรู้มาตรฐานเปิดอย่าง Agent2Agent (A2A) และ Agent-User Interaction (AG-UI) เพื่อให้ Agent ของคุณสามารถสื่อสารกับ Agent อื่นๆ และเชื่อมต่อกับแอปพลิเคชัน Frontend ได้อย่างเป็นระบบ - ทดสอบและประเมินผล: วัดประสิทธิภาพของ Agent อย่างเป็นวิทยาศาสตร์ด้วย pydantic-evals เพื่อให้มั่นใจในคุณภาพก่อนนำไปใช้งานจริง - Monitoring และ Debug: ติดตามการทำงานของ Agent ทุกฝีก้าวด้วย Logfire และ OpenTelemetry เพื่อหาจุดบกพร่องได้อย่างรวดเร็ว - นำไปใช้งานจริง (Deployment): เรียนรู้วิธีการ Deploy Agent ของคุณในรูปแบบต่างๆ ทั้ง API ด้วย FastAPI, เว็บแอปด้วย Streamlit และ CLI ไม่ว่าคุณจะเป็นนักพัฒนาที่เพิ่งก้าวเข้าสู่โลกของ AI หรือวิศวกรที่ต้องการยกระดับการสร้าง AI Application ให้เป็นระบบและพร้อมสำหรับสเกลใหญ่ หนังสือเล่มนี้คือเข็มทิศที่จะนำทางคุณไปสู่การเป็นมืออาชีพด้านการสร้าง AI Agent ได้อย่างแน่นอน พร้อมหรือยังที่จะเปลี่ยน "Prompt" ให้กลายเป็น "Product"? หยิบหนังสือเล่มนี้แล้วเริ่มสร้างสรรค์ผลงานที่น่าทึ่งไปพร้อมกัน!

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Author : 메이오 오신
language : ko
Publisher: 한빛미디어
Release Date : 2025-05-19

written by 메이오 오신 and has been published by 한빛미디어 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Computers categories.

랭체인부터 랭그래프, RAG, AI 에이전트 그리고 MCP까지 직접 만들며 익히는 생성 AI 애플리케이션 개발의 모든 것 MCP 활용법 특별 수록: 개념 이해부터 서버 구축, 실전 활용까지 LLM 애플리케이션, 어디서부터 시작해야 할지 막막한가요? 챗GPT 이후의 시대, 검색 증강 생성(RAG), 멀티 에이전트, 랭그래프, MCP 같은 용어들이 쏟아지지만 정작 무엇부터 어떻게 시작해야 할지 고민이라면, 이 책이 지금 꼭 필요한 이유입니다. 이 책은 LLM 기반 애플리케이션 개발의 효율을 극대화하는 랭체인과, 복잡한 아키텍처 설계를 가능하게 하는 랭그래프를 중심으로, 기초 개념부터 실전 배포·운영까지 전 과정을 체계적으로 안내합니다. 생성형 AI 앱 개발, 개념부터 실전까지 한 권으로! 랭체인과 랭그래프를 중심으로 기초부터 실전 배포까지 단순한 챗봇을 넘는 실전형 AI 애플리케이션 구조 설계 파이썬과 자바스크립트 예제를 함께 제공해 바로 실습 가능 RAG부터 멀티 에이전트까지, 최신 기술 전방위 습득! 검색 증강 생성(RAG) 시스템 구현법 자율성과 협업 능력을 갖춘 AI 에이전트 설계 외부 도구 통합, 메모리 기능 등 서비스 수준 구현 실무를 위한 설계 관점과 운영 노하우까지! 환각·지연 등 LLM의 한계를 극복하는 설계 테스트, 평가, 보안, 모니터링까지 운영 실전 팁 실제 배포 가능한 구조와 흐름으로 바로 적용 가능 MCP 활용법 특별 수록! MCP 개념부터 서버 구축 및 실전 활용까지 직접 구현하며 익히는 실습 중심의 구성으로, AI 애플리케이션을 즉시 개발에 적용할 수 있는 실전 역량을 길러줍니다. 특히 부록에서는 AI 에이전트와 외부 시스템을 표준 방식으로 연결하는 최신 기술, MCP를 소개하여, 빠르게 진화하는 생성 AI 기술 흐름을 반영했습니다. LLM을 활용한 애플리케이션 개발이 처음인 독자에게는 출발점을, 이미 경험이 있는 개발자에게는 한 단계 더 나아갈 수 있는 실전 감각을 제공합니다. 빠르게 변화하는 생성 AI 환경 속에서, 이 책은 랭체인의 핵심 개념부터 실전 적용까지 단계별로 안내합니다. 최신 AI 기술을 활용한 개발 역량을 키워보세요.

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 Autonomous Ai Agents With Langgraph

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Author : Maxime Lane
language : en
Publisher: Independently Published
Release Date : 2025-02

Building Autonomous Ai Agents With Langgraph written by Maxime Lane and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02 with Computers categories.

Building Autonomous AI Agents with LangGraph: A Developer's Guide is the ultimate resource for developers who want to harness the power of modern graph-based AI. This comprehensive guide demystifies LangGraph and provides a complete LangGraph blueprint for designing, building, and optimizing autonomous AI agents. Whether you're a seasoned coder or just starting out, this book is packed with practical insights, detailed LangGraph code examples, and hands-on projects that will take your skills to the next level. In this book, you'll explore the fascinating world of LangGraph AI Agents and learn how to create AI agent LangGraph systems using innovative strategies that blend theory with real-world applications. Discover how to integrate LangGraph and LangChain seamlessly-leveraging both LangGraph Python and LangGraph JS to build dynamic, scalable solutions. You'll also delve into advanced topics like LangGraph RAG to further enhance your projects. This guide stands out among LangGraph books by offering the complete LangGraph blueprint you need to master every aspect of managing autonomous systems. Learn how to create AI agent LangGraph designs that not only simplify the development process but also empower you to build sophisticated, self-operating systems. Our step-by-step tutorials cover everything-from basic graph theory to mastering LangGraph, ensuring you gain the confidence to tackle complex projects with ease. With clear explanations, robust code examples, and expert advice on LangGraph managing AI agents systems using best practices, this book is your go-to resource for mastering LangGraph and building cutting-edge solutions. Explore topics that cover LangGraph and AI agents, as well as the innovative integration of Langchain Langraph-all presented in a style that's both engaging and accessible. Join the community of forward-thinking developers and embrace the future of autonomous AI. Dive into Building Autonomous AI Agents with LangGraph: A Developer's Guide and transform your ideas into reality. Whether you're looking to refine your skills with LangGraph code examples or expand your toolkit with practical insights into LangGraph and LangChain, this is the definitive langraph book you've been waiting for. Unlock the power of LangGraph and start building the intelligent systems of tomorrow-your journey to mastering autonomous AI begins here!

Agent

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Author : 高强文
language : zh-CN
Publisher: 机械工业出版社
Release Date : 2025-03-14

Agent written by 高强文 and has been published by 机械工业出版社 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Juvenile Nonfiction categories.

这是一本面向初中级读者的Agent学习指南，作者既是资深的AI技术专家，又是经验丰富的项目导师，融合作者亲身实践、培训反馈与官方资源，为Agent使用者和开发者提供了快速上手的实用指导。