Knowledge Graph Engineering for AI Systems: A Practical Guide to Building Graph-Based RAG, Explainable AI, and Intelligent LLM Applications

Nexon, Clifford

ISBN 13: 9798257910425

Published by Independently published, 2026

About this Item

Seller Inventory # 53627983-n

Bibliographic Details

• Title: Knowledge Graph Engineering for AI Systems: A Practical Guide to Building Graph-Based RAG, Explainable AI, and Intelligent LLM Applications
• Publisher: Independently published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798257910425
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Modern AI systems don’t fail because they lack intelligence they fail because they lack structure, context, and reasoning.
Large Language Models (LLMs) are powerful, but without grounding, they can produce hallucinations, inconsistent outputs, and shallow reasoning. To build truly reliable AI systems, you need more than prompts you need a structured representation of knowledge.
That’s where knowledge graphs come in.
Knowledge Graph Engineering for AI Systems by Clifford Nexon is a comprehensive, hands-on guide to designing, building, and integrating knowledge graphs with LLMs to create accurate, explainable, and production-grade AI applications.
This book goes beyond theory and introduces a systems-level approach to combining structured and unstructured data turning disconnected information into a connected intelligence layer that powers smarter AI.