BilberryDB
A No-Code Multimodal Vector Database
About
BilberryDB is presented as a unified multimodal vector database designed for lightning-fast embedding search across diverse data types including 3D Models, Images, Videos, IoT sensor data, Tabular data, Audio, and Text. It enables users to generate and compare embeddings from multimodal data in a unified space, offering a "Multimodal Studio" for similarity computation. The platform provides an "Application Library" with state-of-the-art business solutions built with BilberryDB embedding models, such as Medical Coding Annotation, Human Activity Recognition, Vertebrate Fossil Morphometric Analysis, Fabric Quality and Defects Identification, Visual Product Search, Multimodal Search Engine, Submersible Monoset Pump Sound Anomaly Detection, and Chemical Molecular Structure Identification. It also allows users to build their own solutions using its No-Code App Engine. BilberryDB offers various embedding models (text, audio, video, 3D, image) with specified dimensions and input/output formats. A key feature is the ability to run BilberryDB offline and secured, ensuring data privacy and local memory storage. It functions as a unified data platform for multimedia and text, with an SDK for developers to store, query, and manage vector embeddings. The product is built for enterprise scale, boasting industry-leading performance metrics, scalability, processing capabilities, and security (SOC2, GDPR compliance in progress). It also offers an "Investment Model" for startups, providing technical expertise and infrastructure without taking equity. Users can start with a free 30-day trial.
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