Actian VectorAI DB

Actian VectorAI DB is a portable, local-first vector database designed for AI teams that need to run RAG pipelines, agents, and semantic search outside the cloud. It delivers sub-15ms queries with 99% recall at 10 million vectors, targeting edge devices (Raspberry Pi, NVIDIA Jetson), on-premises servers, and air-gapped or hybrid environments. The database supports approximate nearest neighbor (ANN) indexing, metadata filtering, and full CRUD operations on vector embeddings, all while ensuring data stays within your control for compliance with HIPAA, GDPR, and data residency requirements. Key performance claims include 22x higher QPS than Milvus or Qdrant on identical hardware, p99 latency of 13 milliseconds, and consistent behavior from prototype to production – no environment-specific rewrites. Actian emphasizes portability: deploy on a Raspberry Pi, an industrial edge server, or a hospital data center, and sync with cloud when connectivity allows. VectorAI DB integrates with Actian's broader Data Intelligence Platform and is offered alongside Actian AI Analyst (conversational analytics). Pricing is not publicly listed; the vendor provides a "Start for Free" link to docs and likely offers custom licensing for enterprise deployments. The product is labeled "New" on Actian's website. Compared to cloud-native vector databases like Pinecone or Weaviate, VectorAI DB prioritizes local-first, offline-capable deployments. It's a strong fit for regulated industries (healthcare, defense) and edge IoT scenarios, but less suitable for teams seeking a fully managed, pay-as-you-go cloud service with broad ecosystem integrations.