

Supercharging AI with Graphs
Jun 27, 2024
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.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Advancements in Graph Neural Networks and Knowledge Graph Construction
01:55 • 15min
Exploring Graph-Based AI Applications and Locus of Reasoning
17:21 • 3min
Exploring the Benefits of Using Graphs for AI Applications
19:52 • 2min
Integration of Vector and Graph Databases for Efficient Data Analysis
22:10 • 19min
Exploring AI's Dependency on Structured Knowledge and Graph Computation
41:33 • 2min