# Actian VectorAI DB

> Edge-native vector database enabling sub-15ms ANN queries on remote devices without cloud dependency, using efficient disk-based indexing for real-time processing. Supports offline operation with synchronization capabilities, optimized for low-resource environments. Ideal for edge RAG, facial recognition, and IoT recommendations; more compact than Milvus for disconnected setups, edge-focused unlike Qdrant's distributed architecture.

- **URL:** https://www.actian.com/databases/vectorai-db/
- **Category:** Vector Database Engines
- **Tags:** Edge, on-premises, Offline, Scalable ANN, Production Ready, Low Latency
- **Updated:** 2026-04-22 13:39
- **Canonical page:** https://vectordb.ever.works/items/actian-vectorai-db

## Details

## Overview

VectorAI DB is designed to run vector search wherever your application lives - on your laptop, at the edge, in your data center, or in air-gapped environments. It has no cloud dependency and no connectivity assumptions.

## Key Features

- Single-node deployment at remote locations and edge devices
- Sub-15ms query latency for real-time decision making
- Operates independently during network outages with optional synchronization
- Facial recognition for security, access control, and identity verification at the edge
- Processes biometric data locally without cloud dependencies for privacy and compliance
- No network round-trips or cloud API delays required

## Use Cases

- Store checkout hardware with unstable connectivity
- Factory-floor machinery and industrial IoT
- Air-gapped environments requiring local data analytics
- Edge devices requiring autonomous behavior
- Security and access control systems

## Availability

VectorAI DB addresses the native edge deployment gap with a database that accounts for the physical and network realities of offline scenarios.

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