baai AI Models

BAAI general embedding (Small) model that transforms any given text into a 384-dimensional vector

BAAI general embedding (Base) model that transforms any given text into a 768-dimensional vector

Different from embedding model, reranker uses question and document as input and directly output similarity instead of embedding. You can get a relevance score by inputting query and passage to the reranker. And the score can be mapped to a float value in [0,1] by sigmoid function.

BAAI general embedding (Large) model that transforms any given text into a 1024-dimensional vector

Multi-Functionality, Multi-Linguality, and Multi-Granularity embeddings model.