Articles, guides and deep dives from the QVAC team.
Searching your own documents with AI means comparing your question against every vector you have stored, and that gets slow and memory-hungry as the collection grows. TurboVec is a vector index that makes the search faster and the stored vectors much smaller, with no training step over your data. It is available in the QVAC SDK, and the RAG code you already write does not change.
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Open-source AI moved fast on the languages that already filled the internet, and left much of the world out of the revolution it started. TranslatePsy-AfriSLM covers 19 African languages, runs on an ordinary phone with no connection, and our smallest model matches or beats systems up to 152 times its size.
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Tether AI Research is releasing VisionPsy-Nano, a family of ~460M-parameter vision-language models built to run on the device in your pocket. It leads its weight class on 16 of 17 benchmarks, beats models up to 2.3x its size on ScienceQA, instruction following and hallucination robustness, and the Flash variant reaches the first token in 0.3s on an iPhone 15. Open weights, Apache 2.0.
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For people who have lost their voice to ALS, the words are still there. The connection to the world is what breaks, not the mind. BrainWhisperer, from Tether Evo, decodes attempted speech from the brain into text, and QVAC runs it fully on-device: more than 90% of words correct on real recordings, in under 2 GB, nothing leaving the machine. An early proof of concept, not a product.
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