NEW STATE OF THE ART IN OPEN EMBEDDING MODEL (HUGGINGFACE HUB)

Summary from the TLDR AI newsletter

The BGE-M3 project introduces a versatile embedding model that excels in Multi-Functionality (dense, multi-vector, and sparse retrieval), Multi-Linguality (supporting over 100 languages), and Multi-Granularity (handling inputs from short sentences to documents up to 8192 tokens). It uses a hybrid retrieval pipeline that combines different methods and re-ranking for higher accuracy and generalization, leveraging its ability to perform embedding and sparse retrieval simultaneously.