Philip Rathle

Philip Rathle, CTO of Neo4J and an expert in knowledge graphs, dives deep into how GraphRAG revolutionizes AI retrieval systems. He explains how this innovative method blends knowledge graphs with vector similarity for clearer, more accurate AI outputs. Rathle discusses the technical aspects of data modeling and the importance of structured data in addressing traditional retrieval challenges. The conversation also touches on real-world applications of GraphRAG across various industries, highlighting its potential to transform AI interactions.

Philip Rathle, CTO of Neo4j and a leading expert in graph technologies, explores the integration of knowledge graphs in enterprise AI. He discusses the real-world application of GraphRAG, detailing how it enhances context for AI agents. Rathle highlights successful enterprises using this technology and warns against overly complex projects. He also showcases tools like the LLM Graph Builder for building starter knowledge graphs and emphasizes the need for clear governance and determinism in AI systems, ultimately illustrating how graphs can significantly improve AI reasoning.

Join Philip Rathle, the CTO of Neo4j and author of The GraphRAG Manifesto, as he takes you on a journey through the world of knowledge graphs and AI. He explains how GraphRAG enhances reasoning and explainability in large language models. Philip discusses the importance of graphs in understanding complex systems and their applications in fraud detection and social networks. He also navigates the limitations of LLMs' reasoning abilities and highlights the advantages of integrating graphs into AI for better decision-making and human agency.