Agentic GraphRAG
Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI
$118.60
- Paperback
300 pages
- Release Date
30 November 2026
Summary
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 sys…
Book Details
| ISBN-13: | 9798341623170 |
|---|---|
| Author: | Anthony Alcaraz, Sam Julien |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 30 November 2026 |
| Dimensions: | 232mm x 178mm |
About The Author
Anthony Alcaraz
Anthony
Anthony is a leading AI/ML Strategist at AWS, recognized for his deep expertise in decision science, large language models, knowledge graphs, and Retrieval-Augmented Generation (RAG). He frequently shares his insights on AI and knowledge systems with a substantial audience of over 38,000 followers on Medium. Anthony recently delivered a lecture at Oxford University on the integration of LLMs with graph theory to address contemporary business challenges.
Sam Julien
Sam Julien is a developer, product manager, and a leader in developer relations and experience. He thrives at the intersection of engineering, product, and marketing, with a passion for empowering developers to achieve their best work. Sam currently leads developer relations and experience at WRITER. Outside of his professional pursuits in writing and coding, he enjoys spending time with his family in the Pacific Northwest.
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