{"product_id":"140328","title":"Introduction to Langchain ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYGWrj22SBAiOqHePT5tI2RS6GE2W.png?v=1765079285\" 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 Introduction to Langchain \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\/143253970\/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\u003eA Beginner's Guide to Rank Chain\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e \"Introduction to Langchain: From RAG Chatbots to Agents\" is designed for readers new to Langchain. LLM-based applications represent an attractive development opportunity with diverse and broad potential, but there are few developers with relevant experience and a lack of introductory materials. \u003cbr\u003eAuthor Seunghwan Oh, a fintech startup CEO and artificial intelligence instructor who previously presented an easy-to-understand explanation for beginners through 『Python Machine Learning Pandas Data Analysis』, wrote this book himself, explaining it in an easy-to-understand way so that even beginners can understand the overall flow of LLM-based applications.\u003cbr\u003e\u003cbr\u003e Learn the basic grammar of Langchain, how to understand and use various LLM providers such as OpenAI and Google, how to implement chatbots, and how to understand and implement RAG concepts.\u003cbr\u003e And learn how to use various tools and agents that are characteristic of Langchain.\u003cbr\u003e Finally, through three practical projects, you can practice extracting news text, analyzing sentiment, utilizing various open source models, and using automation methods using Pandas and PythonREPL.\u003cbr\u003e It is structured so that you can digest complex concepts step by step and gain a sense of practical accomplishment through practice. \u003cbr\u003eI hope that many readers will enter the new world of possibilities called Langchain through this book.\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 01 LangChain Overview\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 001 What is LangChain?\u003cbr\u003e 002 Understanding LangChain Expression Language (LCEL)\u003cbr\u003e 003 LangChain Main Components\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 02 Chat Model Providers and Usage Methods\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 001 OpenAI\u003cbr\u003e 002 Anthropic\u003cbr\u003e 003 Google\u003cbr\u003e 004 Groq\u003cbr\u003e 005 Ollama\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 03 Creating a Simple Chatbot\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 001 Basic Chatbot Implementation\u003cbr\u003e 002 Adding Memory to a Chatbot\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 04 Understanding and Implementing RAG Concepts\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 001 RAG (Retrieval-Augmented Generation) concept\u003cbr\u003e 002 Document loading and splitting\u003cbr\u003e 003 Embedding Model\u003cbr\u003e 004 Building a vector repository\u003cbr\u003e 005 Q\u0026amp;A RAG Chain Implementation\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 05 Tool Calling\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 001 The concept and role of tools\u003cbr\u003e 002 Using LangChain's built-in tools\u003cbr\u003e 003 Creating a Custom Tool\u003cbr\u003e 004 Utilizing Structured Output\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 06 Agent\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e001 Understanding the Agent Concept\u003cbr\u003e 002 Basic Agent Implementation\u003cbr\u003e Added memory function to the 003 agent execution tool.\u003cbr\u003e 004 LangGraph Agent Implementation\u003cbr\u003e 005 Agent-based RAG Chatbot Implementation\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 07 Practical Project\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 001 News Analysis Project Using LangChain\u003cbr\u003e 002 Open source local RAG implementation using Ollama\u003cbr\u003e 003 Data Analysis and Code Execution Agent\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\/TopCate5175\/MidCate008\/517478794.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\u003eFrom RAG chatbots to agents, learn everything about Langchain through step-by-step practice!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e LangChain is an open-source framework for building applications based on large-scale language models (LLMs).\u003cbr\u003e In particular, Langchain has great potential for future use, as it goes beyond simply using LLM and allows for flexible connection of LLM with various data sources, tools, and external systems through its unique scalability. \u003cbr\u003eContinuous learning and practice are essential to keep pace with the rapidly changing trends in AI and LLM technology. However, if you start without any prior knowledge, you are likely to encounter difficulties due to complex structures and conceptual barriers.\u003cbr\u003e Therefore, 『Introduction to Langchain』 is designed to be easily understandable even for beginners by explaining the chatbot-style conversational RAG system, the construction process, and the overall flow of LLM-based applications, and is structured so that even beginners can follow along through practice.\u003cbr\u003e\u003cbr\u003e In this book, you can learn how to develop a conversational chatbot using a chat model, implement a question-and-answer RAG Chain, utilize LangChain's built-in tools and create custom tools, implement agents and build an agent-based RAG chatbot, and complete three practical projects.\u003cbr\u003e All examples are organized step by step so that even beginners can easily understand them. \u003cbr\u003eWe have structured the program so that you can first understand the concept learning and implementation goals, sequentially execute examples according to your goals, and check the execution results and code explanations, allowing you to systematically understand and practice.\u003cbr\u003e This book will be helpful for those who want to understand the basic grammar and LLM of Langchain, especially those who want to directly integrate generative AI into their services and build chatbots and RAG systems. \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 10, 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 312 pages | 187*235*30mm\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 9791199147300\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1199147303 \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":43893410365482,"sku":"140328","price":36.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/8550c1d20839c73ba66e1538aa948581.jpg?v=1765400991","url":"https:\/\/librairie.coreenne.fr\/en\/products\/140328","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}