Neo4j Live: Advancing GraphRAG: Text, Images and Audio for Multimodal Intelligence
Chapters 9
- Play from Welcome & Guest Introduction: Amy Hodler
- Play from Exploring Graphs in Investigative & Emerging Tech
- Play from Setting the Stage: From GraphRAG to Multimodal GraphRAG
- Play from Why Multimodal GraphRAG Matters
- Play from Context Gaps in Text, Image & Audio Data
- Play from Use Cases: Medical, IP Search, Surveillance & More
- Play from How Multimodal GraphRAG Works: A High-Level Overview
- Play from Demo: Visual Graph Construction & Metadata Extraction
- Play from Community Resources, Questions & What’s Next
Multimodal GraphRAG (mmGraphRAG) is a cutting-edge framework that combines the semantic richness of images, audio, and text with the contextual reasoning power of graphs. This transformative approach enables an associative intelligence that moves search and analytics closer to the way humans abstract concepts and connect ideas. We’ll look at how the combination of different levels of abstraction provides new capabilities and an associative intelligence.
Guest: Amy Hodler
Resources mentioned
GenAI & GraphRAGKnowledge graphs
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