In this presentation, Hughes discussed an underexplored dimension of GraphRAG–the integration of image–by introducing Multimodal GraphRAG, an innovative framework that brings image data to the forefront of graph-based reasoning and retrieval. He demonstrated how this approach enables more comprehensive understanding of images, amplifying both the depth and accuracy of insights. Attendees gained insight into:

• How mmGraphRAG works;
• The integration of vision models, hypervectors, and graph databases;
• BAML agentic workflows; and
• Real-world applications and benefits for mmGraphRAG.

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