Graph Chat: Multimodal GraphRAG and Agentic Observability with David Hughes

Bryce Merkl Sasaki of G.V() sits down with David Hughes, Solutions Architect for Graph and AI at Enterprise Knowledge, during the Open Data Science Conference (ODSC) in San Francisco.

The conversation dives into the cutting edge of connected data, moving beyond the initial hype of Retrieval-Augmented Generation (RAG) to explore how graphs are essential for the next generation of AI.

Key Points:

• Multimodal GraphRAG: David explains the shift from simple associative search to a more robust approach that captures signals from images and audio by integrating knowledge management into the graph.
• Agentic Solutions & Observability: A look into the need for engineering rigor in AI agents, focusing on computation graphs, memory inspection, and moving toward deterministic returns using tools like BAML and DSPy.
• The Future of Graph Tech: David discusses the "uncomfortable but exciting" migration from native graph databases to graph-based modeling and querying within vector databases (like LanceDB).