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Agentic GraphRAG

Agentic GraphRAG

Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI

Paperback

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  • Release Date: 04/09/2026
  • Barcode: 9798341623170
  • Genre: Computing & The Internet
  • Sub-Genre: Computer Science
  • Imprint: O'Reilly Media
  • Publisher: O'Reilly Media
Agentic GraphRAG

Agentic GraphRAG

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DESCRIPTION

Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI
Agentic Graph RAG guides technical leaders, engineers, and architects through the next evolution of generative AI. 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 and hands-on design patterns.

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 RAG
  • Implement agents with dynamic memory, planning, and decision-making capabilities
  • Integrate knowledge graphs with large language models for robust, explainable AI
  • Deploy scalable, governable multiagent systems ready for production environments


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