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.
1- type: field_match
2 name: title_query_match
3 rankingField: ranking.query
4 itemField: item.title
5 distance: cos
6 method:
7 type: bi-encoder
8 model: metarank/multilingual-e5-small
