--- title: "VectorAI DB" url: https://daily.dev/posts/vectorai-db-hgurepojl source_url: https://www.vpdae.com/redirect/2nqhwo9ahv4jdb2x3e618sgi8ym type: article source: "Programming Digest" published: 2026-08-17T10:04:17.473Z updated: 2026-08-17T10:04:36.388Z tags: ["rag", "vector-search", "edge-computing"] reading_time: 3 upvotes: 1 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # 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: ## Similar posts on daily.dev - [The AI Tech Stack: Vector Databases Explained — Embeddings, Semantic Search & RAG \(2026 Guide\)](https://daily.dev/posts/the-ai-tech-stack-vector-databases-explained-embeddings-semantic-search-rag-2026-guide--8xaplgsgw) · Medium · 0 upvotes · 0 comments --- 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)