# French semantic search

This is a French cross-encoder model based on multilingual-e5-base, specifically designed for passage reranking tasks.

This is a French cross-encoder model specifically designed for passage re-ranking tasks in semantic search.

A lightweight ColBERTv2 model designed specifically for French semantic search, supporting efficient context matching retrieval.

This is a French cross-encoder model based on CamemBERT, specifically designed for passage reranking tasks, demonstrating excellent performance on the mMARCO-fr dataset.

This is a French cross-encoder model for scoring the relevance of question-passage pairs, suitable for the reranking stage in semantic search.

This is a French cross-encoder model based on the ELECTRA architecture, specifically designed for passage reranking tasks in semantic search.

This is a dense single-vector dual-encoder model for French, suitable for semantic search. The model maps queries and passages to 384-dimensional dense vectors and calculates relevance through cosine similarity.

This is a dense single-vector dual-encoder model for French, designed for semantic search. The model maps queries and passages to 768-dimensional dense vectors and calculates relevance through cosine similarity.

This is a dense single-vector dual encoder model for French, suitable for semantic search. The model maps queries and passages to 768-dimensional dense vectors and calculates relevance through cosine similarity.

This is a dense single-vector dual-encoder model for French, suitable for semantic search tasks.