Bose Ranajoy (17 results)
- Softcover
Seller: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
Contact seller5-star sellerCondition: Used - Fair
£ 40.11
£ 2.25 shippingShips within U.S.A.Quantity: 1 available
Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2026.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
£ 48.19
£ 1.98 shippingShips within U.S.A.Quantity: 3 available
Condition: New.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 52.46
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 52.22
£ 1.98 shippingShips within U.S.A.Quantity: 3 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contact seller5-star sellerCondition: New
£ 54.54
Free ShippingShips within U.S.A.Quantity: 1 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 46.13
£ 7.63 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 46.12
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: New.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 51.49
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: As New. Unread book in perfect condition.
- More images
- Softcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 51.73
£ 19.63 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Neuware -Retrieval-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 measu…rable business value.This 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.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extraction 860 pp. Englisch.
- More images
- Softcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
Contact seller5-star sellerCondition: New
£ 51.73
£ 19.63 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Neuware -Retrieval-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 measu…rable business value.This 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.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extraction 860 pp. Englisch.
- More images
- Softcover
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
Contact seller5-star sellerCondition: New
£ 51.73
£ 22.15 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Neuware -Retrieval-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 measu…rable business value.This 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.Key Learning Objectives- Design and implement production-ready RAG architectures for diverse enterprise use cases- Master advanced retrieval strategies including graph-based approaches and agentic systems- Optimize performance through sophisticated chunking, embedding, and vector database techniques- Navigate the integration of RAG with modern LLMs and generative AI frameworks- Implement robust evaluation frameworks and quality assurance processes- Deploy scalable solutions with proper security, privacy, and governance controlsReal-World Applications- Intelligent document analysis and knowledge extraction- Code generation and technical documentation systems- Customer support automation and decision support tools- Regulatory compliance and risk management solutionsWhether 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.What You Will Learn- Architecture Mastery: Design scalable RAG systems from prototype to enterprise production- Advanced Retrieval: Implement sophisticated strategies, including graph-based and multi-modal approaches- Performance Optimization: Fine-tune embedding models, vector databases, and retrieval algorithms for maximum efficiency- LLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworks- Production Excellence: Deploy robust systems with monitoring, evaluation, and continuous improvement processes- Industry Applications: Apply RAG solutions across diverse enterprise sectors and use cases Who This Book Is ForPrimary 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 systemsPrerequisites: Intermediate Python programming, basic understanding of machine learning concepts, and familiarity with natural language processing fundamentals.
Published by Apress
- Softcover
Seller: Academic Book Solutions, Medford, NY, U.S.A.Academic Book Solutions
Contact seller5-star sellerCondition: Used - As new
£ 48.56
£ 2.99 shippingShips within U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
- More images
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
£ 46.10
£ 59.74 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Mastering Retrieval-Augmented Generation | Advanced Techniques and Production-Ready Solutions for Enterprise AI | Ranajoy Bose | Taschenbuch | xxxix | Englisch | 2026 | Apress | EAN 9798868818073 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 1…4197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- More images
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 51.73
£ 56.65 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Neuware - Retrieval-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 meas…urable business value.This 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.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extraction.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
Contact seller5-star sellerCondition: New
£ 44.16
£ 4.69 shippingShips from Italy to U.S.A.Quantity: Over 20 available
Condition: new. Questo è un articolo print on demand.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 60.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Retrieval-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 measu…rable business value.This 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.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extractionCode generation and technical documentation systemsCustomer support automation and decision support toolsRegulatory compliance and risk management solutionsWhether 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.What You Will LearnArchitecture Mastery: Design scalable RAG systems from prototype to enterprise productionAdvanced Retrieval: Implement sophisticated strategies, including graph-based and multi-modal approachesPerformance Optimization: Fine-tune embedding models, vector databases, and retrieval algorithms for maximum efficiencyLLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworksProduction Excellence: Deploy robust systems with monitoring, evaluation, and continuous improvement processesIndustry Applications: Apply RAG solutions across diverse enterprise sectors and use cases Who This Book Is ForPrimary 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 systemsPrerequisites: Intermediate Python programming, basic understanding of machine learning concepts, and familiarity with natural language processing fundamentals mso-fareast-font-family: 'Times New Roman';">LLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworks This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- More images
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 51.73
£ 51.21 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Retrieval-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 d…eploying enterprise-grade RAG systems that deliver measurable business value.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 860 pp. Englisch.
