Turbocharge GenAI with Graphs: More Accurate & Contextual Agentic Solutions and Applications

In the fast-evolving landscape of Generative AI, success hinges not just on the models you use, but on how you structure the data that powers them. "Turbocharge GenAI with Graphs" reveals the missing ingredient that transforms ordinary AI implementations into extraordinary ones: graph databases.

Join Corey Sommers and Dr. Frank Celler on an enlightening journey through Cologne, Germany, where over plates of authentic German cuisine and intense whiteboard sessions, they unpack the revolutionary impact of graph technology on GenAI applications. This practical guide demonstrates why leading companies like Microsoft, NVIDIA, and Intel are betting big on graph databases as the foundation for next-generation AI systems.

Discover why traditional relational and document databases fall short for today's AI workloads, and why vector search alone can't deliver the contextual understanding needed for truly intelligent applications. Through real-world examples from cybersecurity, supply chain management, and criminal investigations, you'll learn how GraphRAG and HybridRAG approaches dramatically reduce hallucinations, improve retrieval accuracy, and enable complex reasoning that was previously impossible.

More than just theory, this book provides a step-by-step roadmap for migrating from relational databases to graph databases, with practical examples showing how to:

• Extract and analyze existing schemas
• Create graph models from relational data
• Optimize for performance and scale
• Implement GraphRAG and HybridRAG for unstructured data

Whether you're a data architect, AI engineer, or business leader looking to drive innovation, this book illuminates the path to more accurate, more contextual, and more powerful AI applications. By the final page, you'll understand not just why graph databases are essential for GenAI success, but exactly how to implement them in your own organization.