Build AI that understands — not just retrieves.
Most GenAI systems stop at recall. They fetch answers but don’t understand relationships. This book dives into how graphs change that — adding structure, context, and reasoning to your AI stack.
Written by Corey Sommers and Dr. Frank Celler, Turbocharge GenAI with Graphs explains how to connect knowledge graphs, vector search, and multi-model databases to make GenAI more accurate, explainable, and scalable.
What you’ll learn:
- How graphs ground LLMs in real context to reduce hallucinations
- Architectures that combine graph, vector, and document data in one layer
- How to build GraphRAG pipelines for smarter retrieval and reasoning
- Real-world examples from teams at NVIDIA, Microsoft/OpenAI, and Cognivare
- Practical steps to move from prototypes to production-ready, agentic AI
Whether you’re a data engineer, AI researcher, or architect, this book gives you the mental model and tools to make GenAI systems that actually think.