# E-commerce semantic search

This is a model based on sentence-transformers that maps sentences and paragraphs into a 384-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

This is a sentence embedding model based on sentence-transformers that maps text to a 384-dimensional vector space, suitable for semantic search and clustering tasks.