sbert

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

基于sentence transformers和chatglm实现的文档搜索工具

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

A tool for performing semantic search within pdf documents leveraging sentence transformers.