# Actian VectorAI DB

> Store persistent agent memory and search vectors on your own infrastructure.

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.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/actian-vectorai-db
- Official website: https://www.actian.com/databases/vectorai-db/
- Category: Developer tools / Databases & database tools
- Status: Launched
- Topics: AI, AI agents, Databases, Developer tools, Semantic search
- Listing updated: 2026-10-30T16:49:30.531Z
- Information source: https://www.actian.com/databases/vectorai-db/

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.