A unified database platform called SingleStore is designed to handle complex queries across multiple data types, including unstructured and structured data, for building sophisticated AI applications. It offers a unique approach to vector operations, providing native support for vectors alongside traditional SQL types, multi-modal data storage, unified query capabilities, and various indexing options. The platform enables real-time analytics on vector search results, complex joins between vector and non-vector data, and hybrid search combining vector similarity and keyword matching. SingleStore can be used as a scalable AI stack with multiple layers, including API, service, data, cache, and integration patterns, allowing developers to build production-ready vector databases quickly.