{"product_id":"retrieval-augmented-generation-rag-and-vector-databases-a-practical-guide-for-ai-developers-9798314910122","title":"Retrieval-Augmented Generation (RAG) and Vector Databases: A Practical Guide for AI Developers","description":"\u003cp\u003e • Author(s): Gus Newton\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Data Science - Neural Networks\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRetrieval-Augmented Generation (RAG) and Vector Databases: A Practical Guide for AI Developers\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eAI is only as powerful as the information it can access. \u003cb\u003eRetrieval-Augmented Generation (RAG)\u003c\/b\u003e bridges the gap between static language models and real-time knowledge retrieval, enabling AI to generate more accurate, context-aware responses. This book provides a \u003cb\u003ehands-on, practical guide\u003c\/b\u003e to building \u003cb\u003eRAG-powered AI systems\u003c\/b\u003e using \u003cb\u003evector databases\u003c\/b\u003e for efficient and intelligent information retrieval.\u003c\/p\u003e\u003cp\u003eFrom understanding \u003cb\u003ehow RAG improves AI responses\u003c\/b\u003e to implementing \u003cb\u003escalable retrieval systems\u003c\/b\u003e, this book walks you through \u003cb\u003estep-by-step tutorials\u003c\/b\u003e, \u003cb\u003ereal-world applications\u003c\/b\u003e, and \u003cb\u003ebest practices for optimization\u003c\/b\u003e. Whether you're developing \u003cb\u003eAI-powered search engines, chatbots, or enterprise knowledge systems\u003c\/b\u003e, this guide equips you with the skills to build robust \u003cb\u003eretrieval-enhanced AI models\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eThis book takes a deep dive into \u003cb\u003eRAG and vector search\u003c\/b\u003e, covering: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eHow RAG enhances AI models\u003c\/b\u003e by retrieving relevant context before generating responses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVector databases (FAISS, Pinecone, Weaviate, and more)\u003c\/b\u003e and their role in AI-powered search.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStep-by-step implementation of RAG pipelines\u003c\/b\u003e using Python and modern frameworks like \u003cb\u003eLangChain and Haystack\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOptimizing retrieval performance\u003c\/b\u003e to improve accuracy, reduce latency, and scale AI systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-world use cases\u003c\/b\u003e in enterprise search, personalized recommendations, chatbots, healthcare, finance, and cybersecurity.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eBy the end of this book, you'll have the practical knowledge to \u003cb\u003ebuild, deploy, and scale RAG-based applications\u003c\/b\u003e.\u003c\/p\u003e\u003cb\u003eKey Features of This Book\u003c\/b\u003e\u003cp\u003e\u003cb\u003eComprehensive coverage\u003c\/b\u003e of \u003cb\u003eRAG, vector databases, and retrieval techniques\u003c\/b\u003e.\u003cbr\u003e\u003cb\u003ePractical tutorials and hands-on code examples\u003c\/b\u003e using Python.\u003cbr\u003e\u003cb\u003eReal-world applications\u003c\/b\u003e for enterprise AI, e-commerce, and search engines.\u003cbr\u003e\u003cb\u003eStep-by-step guidance\u003c\/b\u003e on optimizing retrieval and reducing AI hallucinations.\u003cbr\u003e\u003cb\u003eDeployment strategies\u003c\/b\u003e for scaling RAG pipelines in cloud and on-premise environments.\u003c\/p\u003e\u003cp\u003eThis book is perfect for: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAI developers and data scientists\u003c\/b\u003e building retrieval-augmented AI systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMachine learning engineers\u003c\/b\u003e optimizing search and retrieval models.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSoftware developers\u003c\/b\u003e working on chatbots, virtual assistants, and AI-powered search.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAI researchers and enthusiasts\u003c\/b\u003e interested in \u003cb\u003eRAG, vector search, and LLMs\u003c\/b\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eUnlock the full potential of \u003cb\u003eAI-powered retrieval\u003c\/b\u003e with \u003cb\u003eRetrieval-Augmented Generation and Vector Databases\u003c\/b\u003e! Whether you're a beginner or an experienced AI professional, this book will \u003cb\u003eequip you with the skills to build advanced, intelligent systems\u003c\/b\u003e. Get your copy today and start building \u003cb\u003eRAG-powered AI applications\u003c\/b\u003e that deliver \u003cb\u003esmarter, more accurate responses. \u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45554972786839,"sku":"9798314910122","price":1396.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798314910122.webp?v=1768589218","url":"https:\/\/atlanticbooks.com\/products\/retrieval-augmented-generation-rag-and-vector-databases-a-practical-guide-for-ai-developers-9798314910122","provider":"Atlantic Books","version":"1.0","type":"link"}