{"product_id":"9798868818073","title":"Mastering Retrieval-Augmented Generation: Advanced Techniques and Production-Ready Solutions for Enterprise AI","description":"\u003ch1\u003eMastering Retrieval-Augmented Generation: Advanced Techniques and Production-Ready Solutions for Enterprise AI\u003c\/h1\u003e \u003ch2\u003eBose, Ranajoy\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"line-height: normal; mso-pagination: widow-orphan; margin: 12.0pt 0in 12.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eRetrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver measurable business value.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; mso-pagination: widow-orphan; margin: 12.0pt 0in 12.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eThis comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; mso-pagination: widow-orphan; margin: 12.0pt 0in 12.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eKey Learning Objectives\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eDesign and implement production-ready RAG architectures for diverse enterprise use cases\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eMaster advanced retrieval strategies including graph-based approaches and agentic systems\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eOptimize performance through sophisticated chunking, embedding, and vector database techniques\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eNavigate the integration of RAG with modern LLMs and generative AI frameworks\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eImplement robust evaluation frameworks and quality assurance processes\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eDeploy scalable solutions with proper security, privacy, and governance controls\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eReal-World Applications\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan style=\"font-family: 'Times New Roman', serif; font-size: 12pt;\"\u003eIntelligent document analysis and knowledge extraction\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eCode generation and technical documentation systems\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eCustomer support automation and decision support tools\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eRegulatory compliance and risk management solutions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eWhether you're an AI engineer scaling existing systems or a technical leader planning next-generation capabilities, this book provides the expertise needed to succeed in the rapidly evolving landscape of enterprise AI.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eWhat You Will Learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eArchitecture Mastery: Design scalable RAG systems from prototype to enterprise production\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eAdvanced Retrieval: Implement sophisticated strategies, including graph-based and multi-modal approaches\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003ePerformance Optimization: Fine-tune embedding models, vector databases, and retrieval algorithms for maximum efficiency\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eLLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworks\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eProduction Excellence: Deploy robust systems with monitoring, evaluation, and continuous improvement processes\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"line-height: normal;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; font-family: Aptos; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eIndustry Applications: Apply RAG solutions across diverse enterprise sectors and use cases\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWho This Book Is For\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; mso-pagination: widow-orphan; margin: 12.0pt 0in 12.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;\"\u003ePrimary audience: Senior AI\/ML engineers, data scientists, and technical architects building production AI systems; secondary audience: Engineering managers, technical leads, and AI researchers working with large-scale language models and information retrieval systems\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; mso-pagination: widow-orphan; margin: 12.0pt 0in 12.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;\"\u003ePrerequisites: Intermediate Python programming, basic understanding of machine learning concepts, and familiarity with natural language processing fundamentals\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-01-03\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9798868818073\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/979-8-8688-1808-0\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 820\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":44364930515084,"sku":"9798868818073","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9798868818073_dad03e52-ff1d-4f16-8efb-971193b83caa.jpg?v=1775067431","url":"https:\/\/lateknightbooks.com\/products\/9798868818073","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}