--- title: README emoji: 📊 colorFrom: red colorTo: yellow sdk: static pinned: false --- ## Hello, we're Minish! We're a two-person ([@pringled](https://github.com/Pringled) and [@stephantul](https://github.com/stephantul)) open-source lab, with a focus on Natural Language Processing. We believe that if you make models fast enough, you unlock new possibilities. Using our software, you can: * Embed the entire English Wikipedia in 5 minutes * Classify tens of thousands of documents per second on a CPU * Approximately deduplicate extremely large datasets in minutes * Build the fastest RAG application in the world * Easily evaluate which ANN algorithm works best for your data Our projects: * [model2vec](https://github.com/MinishLab/model2vec): tiny static embedding models with state-of-the-art performance. * [potion](https://huggingface.co/collections/minishlab/potion-6721e0abd4ea41881417f062): the best small models in the world. 100-500x faster than a sentence-transformer, and almost as good. * [vicinity](https://github.com/MinishLab/vicinity): consistent interfaces to many approximate nearest neighbor algorithms. * [semhash](https://github.com/MinishLab/semhash): lightning-fast, super accuracte, semantic deduplication and filtering for your text datasets. * [model2vec-rs](https://github.com/MinishLab/model2vec-rs): a Rust port of model2vec. You can also find us on: 🔬 [GitHub](https://github.com/MinishLab) 👽 [LinkedIn](https://www.linkedin.com/company/minish-lab/) 💬 [Discord](https://discord.gg/4BDPR5nmtK)