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• Anotácia kniha
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Nákupom získate 139 bodov

Anotácia knihy

What if your AI systems could retrieve information, reason over complex knowledge, plan actions, and continuously learn—all while maintaining enterprise-grade security and compliance? Agentic Graph RAG guides technical leaders, engineers, and architects through the next evolution of generative AI. Combining retrieval-augmented generation (RAG) with graph-based reasoning and agentic capabilities, this guide provides a practical blueprint for building scalable, auditable, and intelligent AI systems. Written by Anthony Alcaraz and Sam Julien, this book demystifies knowledge graphs, graph memory, neural-symbolic reasoning, and agent orchestration through real-world case studies, hands-on design patterns, and production-ready architectures. Readers will learn how to construct graph-native retrieval systems, integrate advanced reasoning into agent workflows, and address enterprise challenges around governance, scalability, and transparency. Design graph-augmented architectures that surpass traditional RAGImplement agents with dynamic memory, planning, and decision-making capabilitiesIntegrate knowledge graphs with large language models for robust, explainable AIDeploy scalable, governable multiagent systems ready for production environments

Parametre knihy

• Celý názov: Agentic Graphrag
• Autor: Sam Julien
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 300
• EAN: 9798341623170
• ID: 52755535
• Nakladateľ: O'Reilly Media
• Hmotnosť: 666 g
• Dátum vydania: 03. November 2026

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