Hello, we're Minish!

About us

We're a two-person (pringled and 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 models and packages, 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: tiny static embedding models with state-of-the-art performance.
• potion: the best small models in the world. 100-500x faster than a sentence-transformer, and almost as good.
• vicinity: consistent interfaces to many approximate nearest neighbor algorithms.
• semhash: lightning-fast, super accuracte, semantic deduplication and filtering for your text datasets.
• model2vec-rs: a Rust port of model2vec.

You can also find us on: 🔬 GitHub 👽 LinkedIn 💬 Discord