Actian VectorAI DB
The portable vector database for AI agents beyond the cloud
Actian VectorAI DB launched on April 28, 2026 with 203 votes, #140 of 21,248 launches that month and more than 99% of that year's launches.
What it does
Actian VectorAI DB is a portable vector database built for AI beyond the cloud. Developers can store, retrieve, and reason over data locally, delivering low-latency vector search on embedded, edge, on-prem, and hybrid systems - with a 22x QPS advantage over Milvus and Qdrant at 10M vectors. Build once, deploy consistently, without relying on cloud-native infrastructure. Teams maintain full data ownership and predictable behavior across edge, on-prem, hybrid, and cloud environments.
Enterprise vector database for edge and on-premises. Run RAG and semantic search without cloud latency, per-query fees, or data exposure.
Isolated, persistent memory for every agent in a multi-agent crew. Local RAG pipeline with no cloud vector service. Runs on-premises or at the edge. Semantic search for missing persons cases. Bridges the vocabulary gap between families and forensic records, fully on-device. Air-gapped RAG pipeline for defense, aerospace, and pharma. Runs on a single Mac; no internet required. Offline maintenance copilot for industrial technicians. Search manuals and incident history by error code, photo, or voice note. Agent memory that persists across sessions without cloud dependencies. 745.2 QPS on 10M vectors at 768 dimensions. 22x faster than Milvus and Qdrant. 13ms p99 at 99% recall on self-hosted…from actian.com
Does a similar job
all alternatives →
I built a vector database API on Cloudflare2024 · github.com · ▲101🦉⚡️Serverless, distributed vector database as an API - TimeSurgeLabs/athenadb


HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
Vectorize 2.02025 · platform.vectorize.io · ▲335Complete RAG agents (chatbot, MCP) with little or no code

More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com

Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com


I made a laptop stand out of solid concrete, in the style of brutalist architecture, with themes of urbex and urban decay
Life & fun · Apr 2026 · sam-burns.com

With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app