BAAI
bge-m3
A multilingual embedding model for retrieval and RAG
Ideal for retrieval-augmented generation, search, and vector recall use cases.
Embedding
RAG
Retrieval
Basic info
- Parameter size:567M
- License:MIT
- Language:zh, en, multi
Use cases
- Knowledge retrieval
- RAG
- Multilingual vector recall
Deployment command
python -m sentence_transformers ...
Comments(2)
Log in to join the discussion.
冒烟测试评论2
检索场景比 mE5 略好,多语混合语料召回准。