# High-precision semantic retrieval

BGE-m3-ko is a multilingual embedding model optimized for Korean and English, focusing on efficient semantic retrieval tasks.

LLM2Vec-Sheared-LLaMA-supervised is a supervised learning model based on the Sheared-LLaMA architecture, focusing on sentence similarity tasks and providing functions such as text embedding, information retrieval, and text classification.

mmlw-e5-base is a feature extraction model based on sentence transformers, focusing on sentence similarity tasks and supporting Polish.

SGPT-5.8B is a sentence transformer model based on a 5.8B parameter scale, optimized through weighted mean and NLI (Natural Language Inference) fine-tuning, specifically designed for sentence similarity calculation and feature extraction tasks.