{"product_id":"110066","title":"Developing AI Agents with LangChain and LangGraph ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYEEOP8q07nRDXAS4tk7tF1XXEVnv.png?v=1765094363\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Developing AI Agents with LangChain and LangGraph \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/143646468\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eIs it possible to book a flight with just an LLM? An AI agent can!\u003cbr\u003e Let's create smart AI services with LangChain, LangGraph, LangSmith, AutoGen, AutoGPT, CrewAI, and RamaIndex!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book delves deeply into the latest trends in LLM and the changes in the AI ​​ecosystem, integrating concepts, applications, and practical training to enable you to quickly learn and use the AI ​​agent technology you need today. It's structured to efficiently teach you how to understand the core concepts of AI agents, master the frameworks for applying them, and implement a variety of AI agents using them.\u003cbr\u003e In the hands-on part, you can create various AI agent services yourself using eight frameworks, including Langchain. \u003cbr\u003eYou can search for data from specific YouTube channels, use the AutoGPT agent as a 'code mentor', search for information using Tavily, and even use Langsmith for debugging, performance evaluation, and monitoring.\u003cbr\u003e Finally, we compare and analyze AI agents and Microsoft 365 (M365) Copilot agents.\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003ePart 1 │ Understanding LLM Trends\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 1: The Emergence of LLM and the Transformation of the AI ​​Ecosystem\u003cbr\u003e __1.1 The Birth of LLM\u003cbr\u003e __1.2 The Evolution of LLM: Multimodal LLM\u003cbr\u003e __1.3 Development of LLM: Scaling up the model size\u003cbr\u003e __1.4 The Evolution of LLM: Expanding the Role of Open Source and the Community\u003cbr\u003e\u003cbr\u003e Chapter 2: The Evolution of LLM and the Emergence of AI Agents\u003cbr\u003e __2.1 The emergence of o1\u003cbr\u003e ____2.1.1 Comparison of GPT-4o and o1\u003cbr\u003e ____2.1.2 Understanding o1 through scenarios\u003cbr\u003e __2.2 The emergence of AI agents\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 2 │ Understanding AI Agents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 3: The Concept of AI Agents  \u003cbr\u003e__3.1 What is an AI agent?\u003cbr\u003e __3.2 Comparison of LLM, RAG, and AI agents\u003cbr\u003e\u003cbr\u003e Chapter 4: AI Agent Configuration and Operation\u003cbr\u003e __4.1 AI Agent Components\u003cbr\u003e __4.2 How AI Agents Work\u003cbr\u003e __4.3 Agent Types\u003cbr\u003e\u003cbr\u003e Chapter 5 AI Agent Design Patterns\u003cbr\u003e __5.1 Response Patterns\u003cbr\u003e __5.2 Planning Patterns\u003cbr\u003e __5.3 Tool Usage Patterns\u003cbr\u003e __5.4 Multi-Agent Pattern\u003cbr\u003e __5.5 CoT prompting pattern\u003cbr\u003e\u003cbr\u003e Chapter 6 AI Agent Framework\u003cbr\u003e __6.1 Autogen\u003cbr\u003e __6.2 Langchain\u003cbr\u003e __6.3 Langgraph\u003cbr\u003e __6.4 Crew AI\u003cbr\u003e __6.5 Rama Index\u003cbr\u003e __6.6 AutoGPT\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 3: Using AI Agents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 7: Preparing to Use AI Agents\u003cbr\u003e __7.1 Configuring the Colab Environment\u003cbr\u003e ____7.1.1 Connecting to Colab\u003cbr\u003e ____7.1.2 Using Colab\u003cbr\u003e ____7.1.3 Accessing Google Drive\u003cbr\u003e __7.2 API Key Issuance\u003cbr\u003e ____7.2.1 Generating an OpenAI API Key\u003cbr\u003e ____7.2.2 Generating a Tavily API Key\u003cbr\u003e ____7.2.3 Generating a Langsmith API Key\u003cbr\u003e ____7.2.4 Generating a Serper API Key\u003cbr\u003e\u003cbr\u003e Chapter 8: Implementing AI Agents\u003cbr\u003e __8.1 Langchain Agent\u003cbr\u003e ____8.1.1 How the Langchain AI Agent Works  \u003cbr\u003e____8.1.2 Implementing an Agent with Langchain\u003cbr\u003e __8.2 AutoGPT\u003cbr\u003e __8.3 Autogen\u003cbr\u003e ____8.3.1 Understanding the Autogen Concept\u003cbr\u003e ____8.3.2 Implementing an Agent with Autogen\u003cbr\u003e __8.4 Rama Index\u003cbr\u003e ____8.4.1 Understanding the Rama Index Concept\u003cbr\u003e ____8.4.2 Implementing an Agent with RamaIndex\u003cbr\u003e __8.5 Crew AI\u003cbr\u003e ____8.5.1 Understanding the Crew AI Concept\u003cbr\u003e ____8.5.2 Creating an Agent with Crew AI\u003cbr\u003e __8.6 Using Langgraph\u003cbr\u003e ____8.6.1 Understanding the Langgraph Concept\u003cbr\u003e ____8.6.2 Creating an Agent with LangGraph\u003cbr\u003e\u003cbr\u003e Chapter 9: Agent Debugging and Evaluation Using Langsmith\u003cbr\u003e __9.1 What is Langsmith?\u003cbr\u003e __9.2 Using Langsmith\u003cbr\u003e ____9.2.1 Debugging\u003cbr\u003e ____9.2.2 Integrating LangGraph with Debugging\u003cbr\u003e ____9.2.3 Evaluating Performance\u003cbr\u003e ____9.2.4 Monitoring\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 4 │ M365 Co-Pilot Agent\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 10: M365 Copilot and M365 Copilot Agent\u003cbr\u003e __10.1 M365 Copilot\u003cbr\u003e ____10.1.1 M365 Copilot Features\u003cbr\u003e ____10.1.2 How Copilot Works\u003cbr\u003e __10.2 M365 Copilot Agent\u003cbr\u003e \u003cbr\u003eChapter 11 Comparing M365 Copilot Agents and AI Agents\u003cbr\u003e __11.1 Limitations of M365 Copilot Agent\u003cbr\u003e __11.2 M365 Copilot Agent vs. AI Agent\u003cbr\u003e\u003cbr\u003e Search\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate5194\/MidCate5\/519349725.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eAnyone can quickly and easily learn AI agents and utilize various frameworks!\u003cbr\u003e An introduction to AI agents: learn through hands-on implementation! Quickly cover concepts, applications, and practice in one book!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e What this book covers: AI agent concepts \u0026amp; related frameworks\u003cbr\u003e Anyone can learn AI agents and create them using various frameworks.\u003cbr\u003e With this one book, you can learn more efficiently by understanding the core concepts of AI agents, mastering frameworks for utilizing these concepts, and implementing various AI agents using them.\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[concept]\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eㆍ Explore LLM trends and learn about the concepts and design patterns of AI agents.\u003cbr\u003e ㆍ Let's gain a deeper understanding of the changes in the LLM and AI ecosystems and consider scalability.\u003cbr\u003e ㆍ We will examine how to implement LLM and AI agents and what services can be developed.\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Framework]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e ㆍ Introducing various frameworks such as LangChain, LangGraph, RamaIndex, and LangSmith.\u003cbr\u003e ㆍ Implement AI agents that can actually be used in each framework.\u003cbr\u003e ㆍ Compare AI agents and Microsoft 365 (M365) Copilot agents.\u003cbr\u003e\u003cbr\u003e This book's various practical scenarios: Building AI agents using eight frameworks.\u003cbr\u003e Learn how to implement various AI agents in frameworks such as LangChain, LangGraph, LangSmith, AutoGen, AutoGPT, CrewAI, RamaIndex, and M365 Copilot. \u003cbr\u003eIt consists of basic examples that work in Koreb so that anyone can easily follow along.\u003cbr\u003e\u003cbr\u003e ㆍ [Langchain] Zero-shot ReAct, Conversational ReAct, Self-ask with search, ReAct docstore\u003cbr\u003e ㆍ [Langgraph] Information retrieval using Tavily, ReAct agent, RAG \u0026amp; search agent, multi-agent\u003cbr\u003e ㆍ [Crew AI] Data search and content creation, searching for data on specific YouTube channels\u003cbr\u003e ㆍ [AutoGen] Q\u0026amp;A Agent, Creating Two or More Assistant Agents\u003cbr\u003e ㆍ [AutoGPT] Using the AutoGPT agent as a 'code mentor'\u003cbr\u003e ㆍ [RamaIndex] Creating a PDF document search and math calculation agent\u003cbr\u003e ㆍ [Langsmith] Debugging, Performance Evaluation, and Monitoring\u003cbr\u003e ㆍ [M365 Copilot] Comparative Analysis of M365 Copilot and AI Agents\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Author's Preface]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Following LLM, interest in AI agents is heating up. \u003cbr\u003eWhy are people turning to AI agents? Automation is key. LLM itself, as a language model, specializes in content generation.\u003cbr\u003e Of course, human activity begins with content creation.\u003cbr\u003e Create content to create promotional videos, send emails, or give lectures.\u003cbr\u003e Alternatively, use RAG to check the delivery status of your order or view available flights.\u003cbr\u003e But is it possible to execute tasks like booking airline tickets using just an LLM? This can be done using an AI agent.\u003cbr\u003e In this book, we will cover the most basic methods for implementing such AI agents.\u003cbr\u003e And we introduce various frameworks that can implement AI agents.\u003cbr\u003e We introduce how to implement AI agents in various frameworks, including LangChain, LangGraph, AutoGPT, and AutoGen. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS\u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n \u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e- \u003cstrong\u003eDate of issue:\u003c\/strong\u003e March 20, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 292 pages | 183*235*15mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791140712793 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893664710698,"sku":"110066","price":39.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/c603220fc9766bef209b4f47d861cd41.jpg?v=1765410840","url":"https:\/\/librairie.coreenne.fr\/en\/products\/110066","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}