BGE M3
BGE M3 is BAAI’s multilingual retrieval embedding model built around three strengths: multi-functionality, multi-linguality, and multi-granularity. It supports dense retrieval, sparse retrieval, and multi-vector retrieval in one model, works across 100+ languages, and handles inputs up to 8192 tokens.
- Type
- Text
- Weights
- Open
- Downloads
- 36M
- Likes
- 3.7k
- Pipeline
- sentence similarity
- License
- mit
Model hub
BAAI/bge-m3
- Repo
- BAAI/bge-m3
- Library
- sentence-transformers
- Access
- Public
Technical tags and languages
Papers
5
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About Beijing Academy of Artificial Intelligence (BAAI)
1
Beijing Academy of Artificial Intelligence (BAAI), also known as Zhiyuan Institute, is a Chinese non-profit AI research laboratory established in November 2018. BAAI conducts fundamental AI research, develops open-source models (including WuDao, BGE embeddings, Emu, and RoboBrain), and fosters collaboration between academia and industry. Known for creating the BGE (BAAI General Embedding) series of embedding models used in RAG systems worldwide.