Milvus is a vector database meticulously crafted for scalable similarity search, adept at storing, indexing, and managing massive embedding vectors generated by deep neural networks and other machine learning models. It has an easy-to-use interface and allows users to establish a large-scale similarity search service in under a minute, complemented by straightforward SDKs available for various programming languages.
The database excels in speed, with hardware efficiency and advanced indexing algorithms, achieving a remarkable 10x performance boost in retrieval speed. Its distributed and high-throughput nature makes it highly scalable for serving large-scale vector data, adopting a cloud-native approach that facilitates seamless scaling of both compute and storage. Milvus stands out as a feature-rich solution, offering support for various data types, enhanced vector search with attribute filtering, UDF support, and configurable consistency levels.