Agentic GraphRAG by Anthony Alcaraz, Sam Julien

Post time 1 hour(s) ago

Agentic GraphRAG: Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI

by Anthony Alcaraz (Author), Sam Julien (Author) [color=rgb(86, 89, 89) !important]Format: Paperback

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

https://www.amazon.com/dp/B0GZ7CDCC7?lv=shuf&channelId=500&plpRedirect=mhFallback

[Other] Agentic GraphRAG by Anthony Alcaraz, Sam Julien

Reply

Same Category

Latest Reply

Announcement

Daily Top Contributors