Actian VectorAI DB

Meet Actian VectorAI DB

Actian VectorAI DB is a vector database for semantic search, retrieval workflows, and persistent AI agent memory. It runs on infrastructure controlled by the developer, including laptops, edge devices, servers, and Kubernetes clusters. Teams bring their own embedding model and use the database to store vectors and retrieve relevant context across sessions.

Python and JavaScript SDKs, a REST API, and integrations with agent frameworks provide several ways to connect it to an application. Index choices and quantization help fit storage to available hardware, while Prometheus metrics support monitoring through existing dashboards. The same deployment approach also supports disconnected environments.