What is fastembed and why is it convenient for prototyping?

Fastembed is a library or tool that allows for quick creation and use of vector embeddings for text data without the need for deep model or infrastructure tuning. It is convenient for prototyping because it enables rapid integration of semantic search, clustering, or recommendations based on embeddings, minimizing preparation and setup time.

For example, if you need to quickly test how semantic search works on similar texts, fastembed allows you to obtain vector representations and perform searches on them without complex ML model configuration. This speeds up iterations and helps quickly evaluate ideas before full development.