Hey Product Hunt 👋 - I'm Tahiya. We spent years watching AI teams hit the same wall: the moment they tried to move their applications outside the cloud - to a factory floor, an edge device - their vector database stopped working. Latency spiked, connectivity dropped, data residency requirements kicked in. The infrastructure just wasn't built for it.

We've seen that most vector databases were designed for the cloud, and that was fine when AI lived there. But AI doesn't anymore. It's moving to edge devices, disconnected field environments, and embedded systems. And cloud-based databases break the moment you leave the data center.

Actian VectorAI DB is a portable vector database built for exactly this reality. You can run it on a Raspberry Pi, an NVIDIA Jetson, on-prem behind a firewall, or in the cloud - using the exact same API and architecture throughout. No re-platforming. No re-architecting.

We're launching GA today. In VectorDBBench tests at 10M vectors on identical self-hosted hardware - with zero vendor optimizations applied to any database - VectorAI DB delivered a 22x QPS advantage over Milvus and Qdrant, retaining 72% of its throughput at scale while competitors dropped to ~12% of theirs.

You can build on VectorAI DB today for:
• RAG pipelines (local, edge, or hybrid)
• Monitoring & anomaly detection
• Enterprise semantic search

Python and JavaScript SDKs. LangChain, LlamaIndex, and Hugging Face support. Runs as a Docker container: Kubernetes, Helm and Terraform compatible. Linux and Windows are supported, both on ARM and x86. Compliance-ready for ISO 27001, SOC 2 Type II, HIPAA, and GDPR.

We're building for teams who can't compromise on where their data lives. If that's you - grab the community edition or free trial, join us on Discord, and tell us what you're working on. We're reading every comment today. 🙏