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Actian VectorAI DB

The portable vector database for AI agents beyond the cloud

Actian VectorAI DB preview

What is Actian VectorAI DB

Actian VectorAI DB is a portable vector database designed for AI applications that need to run beyond the cloud, on edge, on-premises, or hybrid environments. It delivers low-latency vector search with a 22x QPS advantage over competitors like Milvus and Qdrant, while allowing developers to build once and deploy consistently across diverse infrastructures. Teams maintain full data ownership and avoid per-query costs, making it ideal for applications requiring data sovereignty and predictable performance.

Key Features

Portable deployment across edge, on-premises, hybrid, and cloud environments
22x higher QPS than Milvus and Qdrant at 10M vectors
Native integration with LangChain, LlamaIndex, OpenAI, and Cohere
Encryption at rest and in transit with built-in management UI
Docker container for local development and production on Linux, Windows, and x86

Use Cases

  • AI agents running on edge devices for real-time semantic retrieval without cloud connectivity
  • Enterprise RAG systems deployed on-premises to keep sensitive data within company infrastructure
  • Hybrid cloud workloads where vector search must operate both locally and in the cloud
  • Air-gapped environments needing secure, offline vector search for compliance

Why do startups need this tool?

Startups need to iterate quickly without vendor lock-in or high cloud costs. Actian VectorAI DB lets you build locally, deploy consistently, and avoid per-query fees while maintaining full data control. Its portability ensures your AI can run anywhere—from a laptop to an edge device—without changing your stack.

FAQs

Actian VectorAI DB Alternatives

Milvus
Qdrant
Pinecone
Weaviate
Chroma