# Medical Retrieval Optimization

Conan-embedding-v1 is a Chinese text embedding model developed by the Tencent BAC team, implemented based on the sentence-transformers library, suitable for various Chinese natural language processing tasks.

This model has been evaluated on multiple tasks in the Chinese Text Embedding Benchmark (MTEB), including text similarity, classification, clustering, and retrieval tasks.

A model focused on Chinese sentence similarity calculation and feature extraction, excelling on multiple Chinese text evaluation benchmarks

cloudy-large-zh is a Chinese sentence similarity calculation model, focusing on feature extraction and sentence similarity tasks, supporting various retrieval and re-ranking tasks.

stella-large-zh-v2 is a Chinese model focused on sentence similarity calculation, supporting various semantic text similarity tasks and text classification tasks.