# Chinese sentence embedding

Jina Embeddings V2 Base is a sentence embedding model optimized for Chinese, which can convert text into high-dimensional vector representations for calculating sentence similarity and feature extraction.

SimCSE(sup) is a model for Chinese sentence similarity tasks. It can encode sentences into embedding vectors and calculate the cosine similarity between sentences.

A Chinese sentence embedding model based on the CoSENT (Cosine Sentence) model, mapping sentences to a 768-dimensional dense vector space, suitable for tasks such as sentence embedding, text matching, or semantic search.