VultronRetriever: Open Visual Document Retrieval Models Built for Scale

The VultronRetriever family introduces a series of open-weight visual document retrieval models that enhance retrieval accuracy while reducing infrastructure demands, offering three models—Flash, Core, and Prime—tailored for varying deployment needs. Unlike traditional text extraction systems, these models read entire document pages as images, preserving contextual information and making them ideal for complex documents like financial records and legal forms. VultronRetriever Prime, the flagship model, leads the ViDoRe V3 benchmark with top retrieval accuracy, while Core and Flash provide efficient alternatives with smaller model sizes. All models are optimized for the Vultr cloud infrastructure, offering smaller indexes, lower costs, and high throughput, making them suitable for large-scale AI applications. The models operate under the Apache 2.0 license and are available through the Vultr Hugging Face organization, providing flexible and efficient options for modern document retrieval workloads.

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