Enterprise-grade by design
Deploy anywhere: cloud, edge, or fully offline
Run vector search wherever your application lives. Works on your laptop, at the edge, in your data center, or in air-gapped environments. No cloud dependency, no connectivity assumptions.
Developer-first, production ready from day one
Start local, deploy to production without re-platforming. Familiar APIs, standard integrations, and clear documentation get you from prototype to production fast.
Your data stays yours
Deploy AI where your data resides. Meet privacy, compliance, and residency requirements without sending vector embeddings to third-party cloud services.
Designed to do more
Actian VectorAI DB enables portable AI by offering:
Run vector search reliably in edge, remote, and air-gapped environments. Syncs when connected, operates independently when not. Zero cloud dependency.
Deploy RAG and semantic search without storing documents or embeddings in third-party cloud services. Keep your entire AI pipeline within your security perimeter.
Production deployments in regulated and edge-constrained environments
Deploy AI-powered support agents that answer questions using your knowledge base and support history. Run RAG pipelines on-premises without sending customer data to the cloud.
Power real-time inventory tracking and product search at retail locations and warehouses. Works offline during network outages, syncs when connected.
Run equipment failure prediction and maintenance documentation search directly on factory floors. Works in isolated facilities where cloud connectivity is unreliable or unavailable.
Search and analyze contracts, regulatory filings, and confidential agreements locally. Meet data residency requirements while deploying semantic search across sensitive documents.
Deploy facial recognition for security, access control, and identity verification at the edge. Process biometric data locally without cloud dependencies for privacy and compliance.
Optimized for local development and on-premises deployment
Build locally, deploy securely, and scale without changing your stack.
Python & JavaScript SDKs, REST & SQL APIs. Native LangChain & LlamaIndex support with OpenAI, & Cohere models.1 1 Full integration suite available at public beta launch.
Docker container for local development & production deployment. Linux, Windows, & x86 support. Kubernetes, bare metal, & ARM support coming soon.
Encryption at rest & in transit. Local built-in management UI with monitoring, analytics, & health dashboards.
-
![]()
Python & JavaScript SDKs, REST & SQL APIs. Native LangChain & LlamaIndex support with OpenAI, & Cohere models.1 1 Full integration suite available at public beta launch.
-
![]()
Docker container for local development & production deployment. Linux, Windows, & x86 support. Kubernetes, bare metal, & ARM support coming soon.
-
![]()
Encryption at rest & in transit. Local built-in management UI with monitoring, analytics, & health dashboards.
Works with your existing AI stack
Works with your existing AI stack
Enterprise-grade features engineered for on-premises deployment
Secure
Run VectorAI DB in private networks with full data control. Encrypted storage and transmission.
Reliable
Designed for always-on apps requiring constant uptime. Built with production stability to keep your systems running smoothly.
Compliant
Deploy locally for GDPR, HIPAA, and residency. VectorAI DB aligns with SOC 2 and ISO 27001 needs for production-ready apps.
Edge-optimized performance without cloud latency
Sub-15ms query latency
Fast local queries eliminate cloud round-trip overhead for responsive applications.
HNSW-based indexing
Optimized HNSW implementation for high recall accuracy and fast load times, validated against industry-standard benchmarks.
Real-time indexing
Updates are available immediately without eventual consistency delays.
Transparent performance data
Openly published benchmark results on ANN-Benchmarks and Vector DB Bench for independent validation.
Flexible deployment for any application architecture
Local development
Install on your laptop or workstation with Docker. Build and test vector search applications locally before deploying to production.
Use for: Prototyping, testing, local development workflows.
Production deployment
Deploy with Docker in your data center, private cloud, or public cloud infrastructure. Run a vector search where your data resides.
Use for: Production applications, regulatory compliance, data sovereignty.
Edge & embedded
Single-node deployment at remote locations and edge devices. Operates independently during network outages with optional synchronization.
Use for: Retail locations, manufacturing sites, and distributed operations.
Get Notified When VectorAI DB Launches
Join the waitlist for early access to the public beta on April 28th. Deploy local-first vector search for RAG applications and semantic search without cloud dependencies.
(i.e. sales@..., support@...)
