Agentic GraphRAG
Taschenbuch

Agentic GraphRAG

Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI

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Beschreibung

<p>What if your AI systems could retrieve information, reason over complex knowledge, plan actions, and continuously learn--with enterprise-grade security and compliance? <em>Agentic GraphRAG</em> guides technical leaders, engineers, and architects through the next evolution of GenAI. Combining retrieval-augmented generation (RAG) with graph-based reasoning and agentic capabilities, this guide is a blueprint for building scalable, auditable, intelligent systems.</p> <p>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.</p> <ul> • Design graph-augmented architectures that surpass traditional RAG • Implement agents with dynamic memory, planning, and decision-making capabilities • Integrate knowledge graphs with LLMs • Deploy scalable, governable multi-agent systems ready for production environments </ul>

Artikeldetails

EAN
9798341623170
Sprache
Englisch
Einband / Art
Taschenbuch
Maße
231 x 174 x 23 mm
Erscheinungsjahr
2026
Verlag / Hersteller
O'Reilly Media

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Agentic GraphRAG

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