About Vald
A cloud-native, Kubernetes-oriented open-source vector search engine designed for highly scalable and distributed approximate nearest neighbor (ANN) search.
Key Features
- Kubernetes-native architecture with distributed indexing, auto-indexing, index backup, and horizontal scaling.
- Uses NGT and other ANN engines internally and supports asynchronous indexing, replication, and rebalancing.
- gRPC and REST APIs with multi-language SDKs and configurable ingress/egress filtering for custom workflows.
Use Cases & Best For
Organizations deploying vector search on Kubernetes that need a cloud-native, horizontally scalable ANN engine.
Teams requiring customizable ingress/egress, index replication, and automated index backup in K8s environments.
About Vector Databases
Storage and retrieval for embeddings