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OverviewModern 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. Full Product DetailsAuthor: Clifford NexonPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 17.80cm , Height: 0.90cm , Length: 25.40cm Weight: 0.290kg ISBN: 9798257910425Pages: 160 Publication Date: 18 April 2026 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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