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# VectorAI DB

**[Programming Digest](https://daily.dev/sources/programmingdigest)** · 3 min read · 1 upvotes · 0 comments

## Summary

Actian VectorAI DB is a portable, local-first vector database marketed for running semantic search and RAG on edge, on-premises, hybrid, and cloud environments without relying on cloud round-trips, per-query fees, or third-party data processing. It supports ANN indexing (HNSW), is model-agnostic with embeddings from providers like OpenAI, Anthropic, Cohere, and Hugging Face, and handles multimodal data. Pricing tiers range from a free Community edition (5K vectors) to Starter, Growth, Enterprise, and Edge tiers, with claims of up to 22x higher QPS versus cloud-native alternatives on identical self-hosted hardware.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.vpdae.com/redirect/2nqhwo9ahv4jdb2x3e618sgi8ym>

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---

Tags: [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#edge-computing](https://daily.dev/tags/edge-computing)

[View this post on daily.dev](https://daily.dev/posts/vectorai-db-hgurepojl)

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