Rockset Adds Vector Search For Real-time Machine Learning At Scale

Rockset, the real-time analytics database built for the cloud, announced native support for vector embeddings, enabling organizations to build high-performance vector search applications at scale, in the cloud. Rockset provides a powerful alternative that combines vector operations with the ability to filter on metadata, do keyword search and join vector similarity scores with other data to create richer, more relevant ML and AI powered experiences in real-time. With the new release, Rockset supports vector operations along with the ability to use OpenAI’s Embeddings API.