# Retrieval optimization

A quantized version of the multilingual embedding model developed by the IBM Granite team, supporting text embedding tasks in 17 languages, suitable for scenarios such as retrieval and information extraction.

E5-small is a compact sentence transformer model focused on sentence similarity and text embedding tasks, performing well on multiple classification and retrieval tasks.