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ONNX version of intfloat/multilingual-e5-small

This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. The ONNX version of this model is made for the Metarank re-ranker to do semantic similarity.

Check out the main Metarank docs on how to configure it.


- type: field_match
  name: title_query_match
  rankingField: ranking.query
  itemField: item.title
  distance: cos 
    type: bi-encoder 
    model: metarank/multilingual-e5-small


Apache 2.0

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Datasets used to train metarank/multilingual-e5-small