Farid
Agentic GraphRAG (for Raymond Rhine)
by Anthony Alcaraz
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ISBN: 9798341623163 • Publisher: O’Reilly Media, Inc. • Year: 2026
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🌐 [color=#55acee]Language: English
📋 [color=#ff9900]INFO: English | September 29, 2026 | ASIN: B0GZ7CDCC7 | 386 pages| Epub | 4 MB
📝 [color=#888888]DESCRIPTION: 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
📦 [color=#ff9900]Download Info
Folder: Agentic GraphRAG Integrating Knowledge Graphs Reasoning And Agency For Enterprise AI
Format: EPUB
Total Size: 4.44 MB
📋 File List:
[size=2]
📌 Agentic GraphRAG 9798341623163.epub (Anthony Alcaraz) (2026) (4.44 MB)
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