{"product_id":"109941","title":"Creating an AI Agent Service with Zocoding's Langchain ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXRVhzNvr3DASm51sAHxiXvytzuKl.png?v=1765033087\" 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 Creating an AI Agent Service with Zocoding's 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\/149201698\/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\u003e“Don’t just ‘use’ AI services; become someone who ‘creates’ them!”\u003cbr\u003e AI Agent Guidebook by IT Creator Jo Coding\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eWe have entered an era where anyone can go beyond simply using AI services and create their own.\u003cbr\u003e \"Creating AI Agent Services with Jocoding's Langchain\" guides you through creating your own AI service by connecting the latest AI technologies such as GPT, LLaMA, RAG, and multimodal with Langchain.\u003cbr\u003e It's structured around examples so that anyone familiar with Python can easily follow along, and it even implements monetization features on interesting topics like PDF-based chatbots and AI poets.\u003cbr\u003e Let's turn the ideas you've only had in your head into reality with the know-how of IT YouTuber Jocoding, who has 660,000 subscribers.\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\u003e[Part 01: Getting Started with Langchain]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 01 Understanding AI Poets and ChatPDF Services\u003cbr\u003e AI poet\u003cbr\u003e ChatPDF\u003cbr\u003e Monetization Method\u003cbr\u003e Technology Stack\u003cbr\u003e\u003cbr\u003e Chapter 02 Understanding Langchain and the GPT Model\u003cbr\u003e What is LLM?\u003cbr\u003e What is Langchain? \u003cbr\u003eWhy Learn Langchain\u003cbr\u003e Langchain v0.3\u003cbr\u003e Understanding GPT Models with OpenAI Playground\u003cbr\u003e\u003cbr\u003e Chapter 03 Setting up the basic development environment\u003cbr\u003e Visual Studio Code Preferences\u003cbr\u003e Python environment settings\u003cbr\u003e Setting environment variables\u003cbr\u003e Langchain environment settings\u003cbr\u003e LLM Chain\u003cbr\u003e Miniconda setup\u003cbr\u003e Langsmith settings\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Part 02: Langchain Basics]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 04: Building AI to Evaluate Food, Restaurant, and Lodging Reviews\u003cbr\u003e Creating AI to Rating Food Reviews\u003cbr\u003e Building an AI that evaluates restaurant reviews\u003cbr\u003e Building an AI-powered accommodation review evaluation system based on LCEL\u003cbr\u003e\u003cbr\u003e Chapter 05: Creating an AI Poet\u003cbr\u003e Service structure to be implemented\u003cbr\u003e LLM chain creation\u003cbr\u003e Streamlit Basics\u003cbr\u003e Front-end implementation\u003cbr\u003e Field deployment\u003cbr\u003e\u003cbr\u003e Chapter 06 Creating a Multilingual Email Generator\u003cbr\u003e Ollama Installation and Configuration\u003cbr\u003e Create an email response\u003cbr\u003e Configuring the Streamlit app\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Part 03 Q\u0026amp;A Service Using Document Embedding]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 07 Creating ChatPDF\u003cbr\u003e Service structure to be implemented\u003cbr\u003e Document Loader\u003cbr\u003e Text Splitter\u003cbr\u003e Embedding\u003cbr\u003e Vector storage\u003cbr\u003e Search engine\u003cbr\u003e Generator\u003cbr\u003e Front-end implementation\u003cbr\u003e Field deployment  \u003cbr\u003eMonetizing Web Services\u003cbr\u003e Streaming implementation\u003cbr\u003e\u003cbr\u003e Chapter 08: Creating a Bot by Author Hyun Jin-geon\u003cbr\u003e What is the Responses API?\u003cbr\u003e Understanding File Search Tools with OpenAI Playground\u003cbr\u003e Responses API integration\u003cbr\u003e Front-end implementation\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Part 04 Similarity Search Service Using the RAG Technique]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 09 Creating FAISS Indexes\u003cbr\u003e What is FAISS?\u003cbr\u003e Splitting text data into chunks\u003cbr\u003e Create index\u003cbr\u003e\u003cbr\u003e Chapter 10: Implementing Similarity Search with FAISS VectorDB\u003cbr\u003e Query-based similar document search\u003cbr\u003e Retrieving document similarity using embedding vectors\u003cbr\u003e\u003cbr\u003e Chapter 11: Implementing RAG-Based Large-Scale Text Search\u003cbr\u003e Create FAISS index\u003cbr\u003e Formatting documents and generating responses\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Part 05: News Search Service Using Advanced RAG Techniques]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 12: Building a Multiquery-Based News Retrieval System\u003cbr\u003e Multiquery + Unique-union technique\u003cbr\u003e Multiquery + RAG Fusion technique\u003cbr\u003e\u003cbr\u003e Chapter 13: Building a Hybrid Search System\u003cbr\u003e Building an Advanced RAG System Using Hybrid Search\u003cbr\u003e Multiquery + Hybrid Search + RAG Fusion Technique\u003cbr\u003e Multiquery + Hybrid Search + RAG Fusion + Streamlit techniques\u003cbr\u003e \u003cbr\u003e\u003cb\u003e[Part 06: Integrated Services Using Multimodal Data]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 14: Building a Multimodal Data RAG System\u003cbr\u003e Multimodal RAG Overview\u003cbr\u003e Multimodal RAG architecture\u003cbr\u003e Installing packages and setting up the JupyterLab environment\u003cbr\u003e Data extraction and segmentation\u003cbr\u003e Multi-vector searcher\u003cbr\u003e Multimodal RAG chain\u003cbr\u003e\u003cbr\u003e Chapter 15 FashionRAG: Image-Based Styling Assistant\u003cbr\u003e Understanding the FashionRAG System\u003cbr\u003e Load the Fashionpedia dataset\u003cbr\u003e Base64 encoding\u003cbr\u003e\u003cbr\u003e Chapter 16: Creating a Poetry\/Novel Generation Service\u003cbr\u003e Configuring Applications with LangServe and FastAPI\u003cbr\u003e Comparison of OpenAI and Ollama models\u003cbr\u003e Building interfaces with Streamlit\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Part 07 Agents Using Langgraph and Agentic RAG]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 17: Building AI Agents That Use Tools\u003cbr\u003e Main components of the system\u003cbr\u003e Agent and tool integration\u003cbr\u003e\u003cbr\u003e Chapter 18: Building AI Agents Using Langgraph\u003cbr\u003e Key features of Langgraph\u003cbr\u003e Create workflow graphs and manage their states\u003cbr\u003e Visualize workflow graphs and interact with agents\u003cbr\u003e \u003cbr\u003eChapter 19: Building an Intelligent Information Retrieval System with Agentic RAG\u003cbr\u003e Agent flow\u003cbr\u003e Defining Agent Status\u003cbr\u003e Create a workflow graph\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Part 08 Collaborative Agents Using CrewAI]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 20 Multi-Agent Blog Writer\u003cbr\u003e Characteristics of artificial intelligence agents\u003cbr\u003e Agent Definition\u003cbr\u003e Define the task to be performed\u003cbr\u003e\u003cbr\u003e Chapter 21: FastAPI, CrewAI-based Blog Content Generator\u003cbr\u003e Agent Definition\u003cbr\u003e Define the task to be performed\u003cbr\u003e Combining CrewAI logic with FastAPI web services\u003cbr\u003e\u003cbr\u003e Chapter 22: Building a Blog Service with React Integration\u003cbr\u003e Install Node.js\u003cbr\u003e React project setup\u003cbr\u003e Create the components needed for your project\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\/TopCate5439\/MidCate002\/543818742.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 Langchain and Langgraph to RAG Fusion and Agentic RAG\u003cbr\u003e Master LLM Development in One Book\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book helps you understand LLM skills naturally through examples rather than complex theories. \u003cbr\u003eThe progressively expanding hands-on structure makes it easy for even beginners to develop AI agent services.\u003cbr\u003e In particular, it clearly shows practical examples that can be applied in practice, covering the implementation of multimodal RAG that answers questions by integrating not only text but also tables and images, and the use of the latest VLMs such as GPT-4 Vision and LLaVA.\u003cbr\u003e\u003cbr\u003e ● Step 1 | First Steps to LLM\u003cbr\u003e Anyone with basic Python knowledge can get started with this guide, from setting up the GPT API to installing Langchain and configuring the development environment.\u003cbr\u003e Step 2 | Create your own AI service that can write poems and read emotions.\u003cbr\u003e Master core concepts with Langchain basics exercises, including AI poets, review rating AI, and multilingual email generators.\u003cbr\u003e Step 3 | Create a 'ChatPDF' that reads and responds to documents\u003cbr\u003e Learn how to monetize your service by building a document Q\u0026amp;A chatbot that analyzes PDFs and answers questions, and even adding API key input and donation buttons. \u003cbr\u003eStep 4 | Building an Advanced Search-Based AI Service with RAG and VectorDB\u003cbr\u003e Embed documents with FAISS and ChromaDB, and implement cutting-edge search technologies such as RAG Fusion and Hybrid Search.\u003cbr\u003e Step 5 | Designing an Agent System with LangGraph and CrewAI\u003cbr\u003e Learn how to handle complex workflows by designing conditional branching, multi-agents, and collaborative agents.\u003cbr\u003e Step 6 | Creating a Complete Service from Web App Deployment, Monitoring, and Monetization\u003cbr\u003e Deploy with Streamlit, track performance with Langsmith, and build a real operational foundation with API key management and sponsorship features.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eI recommend this to these people!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e ● Those interested in creating AI services using LLM\u003cbr\u003e ● Those who want to create AI services but find developer-only tools too difficult\u003cbr\u003e ● Those who find the official documentation too difficult or have difficulty finding practical examples in RankChain \u003cbr\u003e● Those who want to create their own web service but are unaware of design and deployment\u003cbr\u003e ● Those who are interested in not only technology but also service operation and monetization\u003cbr\u003e ● Practitioners, planners, marketers, and creators who don't want to fall behind the generative AI trend\u003cbr\u003e\u003cbr\u003e \u003cb\u003eA word from beta readers who read it first\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e ● This is the first book you should read if you want to create a service using LLM, and it will serve as a beacon for developers preparing to develop artificial intelligence services.\u003cbr\u003e _Kim Min-gyu\u003cbr\u003e ● Clear explanations and practical example code help readers easily build their own AI services. This book is a must-read for anyone seeking to secure a competitive edge in the AI ​​service market.\u003cbr\u003e _Lee Seok-gon\u003cbr\u003e ● Each example is realistic and practical enough to be connected to an actual service rather than simply implementing a simple function. \u003cbr\u003eAs you follow along, you will naturally grasp the structure of the Langchain and the flow of the AI ​​agent.\u003cbr\u003e _Lee Ji-ah \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 July 21, 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 452 pages | 183*235*18mm\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 9791169214148\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 1169214142 \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":43892185694250,"sku":"109941","price":41.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/49a2d0e2f7878dbb495f1e668ca492ca.jpg?v=1765354654","url":"https:\/\/librairie.coreenne.fr\/en\/products\/109941","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}