Philip Rathle

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.

Philip Rathle, CTO of Neo4j, discusses GraphRAG and GQL. Topics include Graph Neural Networks with LLMs, constructing knowledge graphs from various sources, using graphs in AI applications like supply chain risk analysis, benefits in healthcare and customer service, and integrating vector and graph databases for efficient data analysis.

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.