Farid
Agentic GraphRAG
by Anthony Alcaraz
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ISBN: • Publisher: O’Reilly Media • Year: 2026
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🌐 [color=#55acee]Language: English
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…
📦 [color=#ff9900]Download Info
Folder: Agentic GraphRAG Integrating Knowledge Graphs Reasoning And Agency For Enterprise AI TrueRetail EPUB
Format: EPUB
Total Size: 4.34 MB
📋 File List:
[size=2]
📌 Agentic GraphRAG Anthony Alcaraz.epub (Anthony Alcaraz) (2026) (4.33 MB)
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