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Building Agentic AI with GraphRAG: Design and Deploy Intelligent AI Systems with Knowledge Graphs, Retrieval, and Autonomous Reasoning - Couverture souple
Livre 1 sur 2: The Agentic AI Engineering Handbook
Synopsis
Unlock the Next Generation of Artificial Intelligence
Standard Retrieval-Augmented Generation (RAG) is transforming how applications process information, but modern enterprises require more than simple semantic search, they need AI that can reason, connect complex concepts, and act autonomously.
In Building Agentic AI with GraphRAG: Design and Deploy Intelligent AI Systems with Knowledge Graphs, Retrieval, and Autonomous Reasoning, author Aarav Alex bridges the gap between static data retrieval and autonomous, intelligent systems. This comprehensive guide provides a practical, architectural blueprint for designing, building, and deploying enterprise-grade AI systems that leverage the structural power of Knowledge Graphs combined with the reasoning capabilities of Agentic workflows.
Whether you are tackling complex enterprise data silos or designing AI that can plan and execute multi-step tasks safely, this book delivers the design patterns and implementation strategies necessary to succeed in production environments.
What You Will Learn
The Foundations of GraphRAG: Master the integration of Knowledge Graphs with Large Language Models (LLMs) to dramatically improve the accuracy, context, and explainability of your retrieval systems.
Architecting Agentic Workflows: Move beyond simple prompt engineering to design autonomous AI agents capable of reasoning, planning, and executing complex tasks.
Enterprise-Grade Implementation: Learn how to deploy scalable AI systems with a focus on security, privacy, and robust data governance.
Design Patterns for Production: Navigate real-world deployment constraints, evaluate system performance, and implement essential safeguards, monitoring, and human-in-the-loop oversight.
Who This Book Is For
This book is an essential resource for AI engineers, data scientists, software architects, and technical leaders who want to move beyond basic RAG implementations. If you are ready to build intelligent systems that truly understand the relationships within your enterprise data and can take secure, autonomous action, this book is your roadmap.
Design the future of enterprise AI. Start building intelligent, graph-powered agents today.
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Building Agentic AI with GraphRAG: Design and Deploy Intelligent AI Systems with Knowledge Graphs, Retrieval, and Autonomous Reasoning: 1 (The Agentic AI Engineering Handbook)
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Building Agentic AI with GraphRAG
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Building Agentic AI with GraphRAG : Design and Deploy Intelligent AI Systems with Knowledge Graphs, Retrieval, and Autonomous Reasoning
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Taschenbuch. Etat : Neu. Neuware - Unlock the Next Generation of Artificial IntelligenceStandard Retrieval-Augmented Generation (RAG) is transforming how applications process information, but modern enterprises require more than simple semantic search, they need AI that can reason, connect complex concepts, and act autonomously.In Building Agentic AI with GraphRAG: Design and Deploy Intelligent AI Systems with Knowledge Graphs, Retrieval, and Autonomous Reasoning, author Aarav Alex bridges the gap between static data retrieval and autonomous, intelligent systems. This comprehensive guide provides a practical, architectural blueprint for designing, building, and deploying enterprise-grade AI systems that leverage the structural power of Knowledge Graphs combined with the reasoning capabilities of Agentic workflows.Whether you are tackling complex enterprise data silos or designing AI that can plan and execute multi-step tasks safely, this book delivers the design patterns and implementation strategies necessary to succeed in production environments.What You Will LearnThe Foundations of GraphRAG: Master the integration of Knowledge Graphs with Large Language Models (LLMs) to dramatically improve the accuracy, context, and explainability of your retrieval systems.Architecting Agentic Workflows: Move beyond simple prompt engineering to design autonomous AI agents capable of reasoning, planning, and executing complex tasks.Enterprise-Grade Implementation: Learn how to deploy scalable AI systems with a focus on security, privacy, and robust data governance.Design Patterns for Production: Navigate real-world deployment constraints, evaluate system performance, and implement essential safeguards, monitoring, and human-in-the-loop oversight.Who This Book Is ForThis book is an essential resource for AI engineers, data scientists, software architects, and technical leaders who want to move beyond basic RAG implementations. If you are ready to build intelligent systems that truly understand the relationships within your enterprise data and can take secure, autonomous action, this book is your roadmap.Design the future of enterprise AI. Start building intelligent, graph-powered agents today. N° de réf. du vendeur 9798191112893
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Building Agentic AI with GraphRAG (Paperback)
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Paperback. Etat : new. Paperback. Unlock the Next Generation of Artificial IntelligenceStandard Retrieval-Augmented Generation (RAG) is transforming how applications process information, but modern enterprises require more than simple semantic search, they need AI that can reason, connect complex concepts, and act autonomously.In Building Agentic AI with GraphRAG: Design and Deploy Intelligent AI Systems with Knowledge Graphs, Retrieval, and Autonomous Reasoning, author Aarav Alex bridges the gap between static data retrieval and autonomous, intelligent systems. This comprehensive guide provides a practical, architectural blueprint for designing, building, and deploying enterprise-grade AI systems that leverage the structural power of Knowledge Graphs combined with the reasoning capabilities of Agentic workflows.Whether you are tackling complex enterprise data silos or designing AI that can plan and execute multi-step tasks safely, this book delivers the design patterns and implementation strategies necessary to succeed in production environments.What You Will LearnThe Foundations of GraphRAG: Master the integration of Knowledge Graphs with Large Language Models (LLMs) to dramatically improve the accuracy, context, and explainability of your retrieval systems.Architecting Agentic Workflows: Move beyond simple prompt engineering to design autonomous AI agents capable of reasoning, planning, and executing complex tasks.Enterprise-Grade Implementation: Learn how to deploy scalable AI systems with a focus on security, privacy, and robust data governance.Design Patterns for Production: Navigate real-world deployment constraints, evaluate system performance, and implement essential safeguards, monitoring, and human-in-the-loop oversight.Who This Book Is ForThis book is an essential resource for AI engineers, data scientists, software architects, and technical leaders who want to move beyond basic RAG implementations. If you are ready to build intelligent systems that truly understand the relationships within your enterprise data and can take secure, autonomous action, this book is your roadmap.Design the future of enterprise AI. Start building intelligent, graph-powered agents today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798191112893
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