Advanced graph rag mastery de silas forge (4 resultados)

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  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2026

    9798191091358

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    Condición: Nuevo

    EUR 27,57

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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2026

    9798191091358

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Condición: Nuevo

    EUR 25,38

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp Aug 2026, 2026

    9798191091358

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 36,11

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    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. Neuware - What if your AI system could truly understand context instead of just retrieving fragments Most Retrieval-Augmented Generation (RAG) systems rely on vector search. They retrieve relevant chunks, but they lack structure, relationships, and deep reasoning. The result is familiar: hallucinations, shallow answers, and inconsistent outputs.The future of AI retrieval is not flat. It is connected.Advanced Graph RAG Mastery: Foundations and Production Systems is a comprehensive, hands-on guide to building the next generation of intelligent AI systems using Graph RAG. This book goes beyond traditional approaches and shows you how to design systems that understand relationships, reason across multiple sources, and deliver accurate, explainable results.Written for developers, AI engineers, and technical practitioners, this book bridges the gap between foundational theory and real-world implementation. You will not only understand how Graph RAG works, but also how to build, optimize, and deploy it in production environments.Inside this book, you will learn how to: - Move beyond vector-only retrieval and design graph-based retrieval architectures- Extract entities and relationships using large language models- Build and maintain scalable knowledge graphs from unstructured data- Implement advanced retrieval strategies including multi-hop and hybrid search- Design systems that reduce hallucination and improve factual accuracy- Integrate Graph RAG pipelines with modern LLM frameworks- Evaluate, optimize, and productionize AI systems for real-world useThis is not a theoretical overview. Every concept is grounded in practical engineering, with clear explanations and real implementation patterns that you can apply immediately.Whether you are building enterprise AI systems, research tools, or intelligent applications, this book gives you the tools to create systems that are not only powerful, but also reliable and explainable.If you are ready to move beyond basic RAG and master the architecture shaping the future of AI, this book will guide you every step of the way.The next evolution of retrieval is here.Build it.…

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798191091358

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    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 29,80

    Envío por EUR 43,71 
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    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. What if your AI system could truly understand context instead of just retrieving fragments?Most Retrieval-Augmented Generation (RAG) systems rely on vector search. They retrieve relevant chunks, but they lack structure, relationships, and deep reasoning. The result is familiar: hallucinations, shallow answers, and inconsistent outputs.The future of AI retrieval is not flat. It is connected.Advanced Graph RAG Mastery: Foundations and Production Systems is a comprehensive, hands-on guide to building the next generation of intelligent AI systems using Graph RAG. This book goes beyond traditional approaches and shows you how to design systems that understand relationships, reason across multiple sources, and deliver accurate, explainable results.Written for developers, AI engineers, and technical practitioners, this book bridges the gap between foundational theory and real-world implementation. You will not only understand how Graph RAG works, but also how to build, optimize, and deploy it in production environments.Inside this book, you will learn how to: Move beyond vector-only retrieval and design graph-based retrieval architecturesExtract entities and relationships using large language modelsBuild and maintain scalable knowledge graphs from unstructured dataImplement advanced retrieval strategies including multi-hop and hybrid searchDesign systems that reduce hallucination and improve factual accuracyIntegrate Graph RAG pipelines with modern LLM frameworksEvaluate, optimize, and productionize AI systems for real-world useThis is not a theoretical overview. Every concept is grounded in practical engineering, with clear explanations and real implementation patterns that you can apply immediately.Whether you are building enterprise AI systems, research tools, or intelligent applications, this book gives you the tools to create systems that are not only powerful, but also reliable and explainable.If you are ready to move beyond basic RAG and master the architecture shaping the future of AI, this book will guide you every step of the way.The next evolution of retrieval is here.Build it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…