Vald

Vald is a high-scalable, distributed, and fast approximate nearest neighbor dense vector search engine that is designed to be easily usable and highly customizable. It is built on a Cloud-Native architecture and uses the fastest ANN Algorithm NGT for searching neighbors. Vald has automatic vector indexing and index backup, as well as horizontal scaling for searching from billions of feature vector data. Its main features include asynchronous auto indexing, customizable ingress/egress filtering, cloud-native based vector searching engine, auto indexing backup, distributed indexing, index replication, ease of use, and high customizability. Vald supports multiple programming languages and provides comprehensive documentation for users.