Build your AI agent for network debugging
Free forever for up to 5,000 vectors.
Run locally in minutes. Full features. No credit card.
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Community Edition Includes
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Advanced indexing (HNSW, IVF), vector search APIs, and monitoring to support prototypes up to 5,000 vector embeddings.
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Fast Local Setup
Install, index data, and run queries in minutes with clear docs, quickstarts, and code samples.
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FAQ
VectorAI DB is built for portable AI, with a small footprint and low-latency vector search across embedded, edge, on-prem, hybrid, and cloud environments. It runs locally where your data lives, preserving predictable retrieval behavior without re-architecting between environments.
You can deploy on embedded systems, edge devices, on-prem infrastructure, hybrid environments, and self-managed cloud environments. It is designed to run reliably in restricted, air-gapped, and low-connectivity settings.
VectorAI DB supports Python and JavaScript and integrates with LangChain, LlamaIndex, and Hugging Face. It runs on ARM64 and x86 architectures, making it suitable for Raspberry Pi, NVIDIA Jetson, and production servers.
VectorAI DB uses ANN algorithms such as HNSW and IVF to deliver low-latency semantic search as embedding volumes grow. You can move from local prototype to production without changing architecture.