Agentic GraphRAG : Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI - Anthony Alcaraz

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Agentic GraphRAG

Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI

By: Anthony Alcaraz, Sam Julien

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Paperback | 4 September 2026

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Paperback

Dimensions(cm)
17.6 x 23.4 x 2.3

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$73.75

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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

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