Agentic Graphrag: Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI
暫譯: 代理圖譜：整合知識圖譜、推理與企業AI的自主性
Alcaraz, Anthony, Julien, Sam
- 出版商: O'Reilly
- 出版日期: 2026-09-29
- 售價: $2,730
- 貴賓價: 9.5 折 $2,593
- 語言: 英文
- 頁數: 386
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798341623170
- ISBN-13: 9798341623170
-
相關分類:
Large language model
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相關主題
商品描述
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
商品描述(中文翻譯)
如果您的 AI 系統能夠檢索資訊、對複雜知識進行推理、規劃行動並持續學習，同時保持企業級的安全性和合規性，那會怎麼樣？Agentic Graph RAG 指導技術領導者、工程師和架構師進入生成式 AI 的下一個演變。這本指南結合了檢索增強生成 (RAG) 與基於圖形的推理和代理能力，提供了一個實用的藍圖，用於構建可擴展、可審計和智能的 AI 系統。
本書由 Anthony Alcaraz 和 Sam Julien 撰寫，通過真實案例研究、實作設計模式和生產就緒架構，揭示了知識圖、圖形記憶、神經符號推理和代理協調的神秘面紗。讀者將學習如何構建圖形原生的檢索系統，將高級推理整合到代理工作流程中，並解決與治理、可擴展性和透明度相關的企業挑戰。
- 設計超越傳統 RAG 的圖形增強架構
- 實作具備動態記憶、規劃和決策能力的代理
- 將知識圖與大型語言模型整合，以實現穩健且可解釋的 AI
- 部署可擴展、可治理的多代理系統，準備進入生產環境
