Unleashing the Power of Multimodal GraphRAG
KGC 2025
•
32m
David Hughes, Enterprise Knowledge, Principal Solutions Architect
Amy Hodler, GraphGeeks, Exec Director, Founder
GraphRAG has proven to be a powerful tool across various use cases, enhancing retrieval accuracy, language model integration, and delivering deeper insights to users. However, a critical dimension remains underexplored: the integration of visual data. How can images—so rich in contextual and relational information—be seamlessly incorporated to further augment the power of GraphRAG? In this presentation, we introduce Multimodal GraphRAG, an innovative framework that brings image data to the forefront of graph-based reasoning and retrieval. By extracting meaningful objects and features from images, and linking them with text-based semantics, Multimodal GraphRAG unlocks new pathways for surfacing insights. From images embedded in documents to collections of related visuals, we'll demonstrate how this approach enables more comprehensive understanding, amplifying both the depth and accuracy of insights.
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