Neo4j Live: Advancing GraphRAG: Text, Images and Audio for Multimodal Intelligence

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

Graphgeeks: https://www.graphgeeks.org/
Neo4j GenAI Ecosystem: https://neo4j.com/labs/genai-ecosystem/
GenAI GraphAcademy: https://graphacademy.neo4j.com/#generative-ai
GraphRAG: https://graphrag.com/

0:00 – Welcome & Guest Introduction: Amy Hodler
4:02 – Exploring Graphs in Investigative & Emerging Tech
6:06 – Setting the Stage: From GraphRAG to Multimodal GraphRAG
10:28 – Why Multimodal GraphRAG Matters
17:14 – Context Gaps in Text, Image & Audio Data
21:28 – Use Cases: Medical, IP Search, Surveillance & More
28:34 – How Multimodal GraphRAG Works: A High-Level Overview
35:46 – Demo: Visual Graph Construction & Metadata Extraction
52:01 – Community Resources, Questions & What’s Next

#neo4j #graphdatabase #genai #graphrag #knowledgegraph