{"product_id":"agentic-graphrag","title":"Agentic GraphRAG","description":"What if your AI systems could retrieve information, reason over complex knowledge, plan actions, and continuously learn--with enterprise-grade security and compliance  Agentic GraphRAG 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. 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 LLMs - Deploy scalable, governable multi-agent systems ready for production environments","brand":"Buchserien.de","offers":[{"title":"Neuware","offer_id":54924574294354,"sku":"9798341623170","price":80.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0615\/7002\/3593\/files\/bild_1280c6f1-57c6-4931-8701-2e2d74b7c6ca.jpg?v=1790944474","url":"https:\/\/www.buchserien.de\/products\/agentic-graphrag","provider":"Buchserien.de","version":"1.0","type":"link"}