AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
The Data Exchange with Ben Lorica
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.
43:58
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- GraphRAG combines domain and lexical graphs for enhanced data retrieval.
- GQL standardizes graph query language, promoting wider adoption of graph models.
Deep dives
GraphRag: Bridging Domain Graphs and Lexical Graphs
GraphRag, a hybrid approach combining domain graphs and lexical graphs, is discussed. Synthetic data generation and agentic workflows are identified as key trends. GraphRag involves storing workflows in a graph, enhancing resilience, robustness, and debugging capabilities. Additionally, the generation of synthetic data using graphs to improve accuracy is highlighted as a novel application.
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode