baai/ · 2 models
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BGE-EN-ICL is an English text embedding model from BAAI (Beijing Academy of Artificial Intelligence), built on a 7B-parameter Mistral architecture. It supports in-context learning: adding a task instruction and a few example query and answer pairs to a query helps it adapt to new retrieval tasks, and it also works zero-shot.
BGE-M3 is a multilingual text embedding model from BAAI (Beijing Academy of Artificial Intelligence), built from XLM-RoBERTa-large. It supports more than 100 languages and inputs up to 8,192 tokens, and one model provides dense, sparse (lexical) and multi-vector retrieval, producing 1,024-dimensional dense embeddings.
