Agentic GraphRAG

Name: Agentic GraphRAG
Price: 135.75 AUD
Availability: PreOrder

Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI

By: Anthony Alcaraz, Sam Julien

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Paperback | 29 September 2026

At a Glance

Format
Paperback

Dimensions(cm)
23.2 x 17.8

Paperback

$135.75

or 4 interest-free payments of $33.94 with

Available: 29th September 2026

Preorder. Will ship when available.

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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