VectorTree, a subsidiary of Videntifier Technologies, has received European Union funding to develop an Advanced Vector Database (AVD) as a cloud service to assist artificial intelligence applications. The €943,052.28 project, with €565,831.38 funded by the EU, will utilize Videntifier's NV-tree algorithm for efficient processing of large visual data volumes. The AVD aims to support AI models by storing vector embeddings for rapid similarity searches, with innovative features like vector clustering that facilitate grouping related data for various applications, including content suggestions and legal research.
VectorTree is creating an Advanced Vector Database (AVD) as a cloud-based service to support artificial intelligence systems, built on Videntifier's NV-tree algorithm known for efficient visual data processing.
With the EU's support, we're building a vector database that not only scales, but also changes how data for AI is retrieved, increasing accuracy without relying solely on exact matches.
VectorTree's AVD will store vector embeddings, enabling AI to compare new inputs with stored data and retrieve results instantly through fast similarity searches.
A key feature of VectorTree's AVD is vector clustering, which can handle groups of related vectors to suggest content or match similar cases across various domains.
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