A compact, focused specialist that takes two text passages and outputs a relevance score between them. It operates in a cross-encoder style, meaning it reads both inputs together rather than separately, which gives it strong judgment on semantic similarity but limits it to pairwise comparisons rather than bulk embedding tasks. Trained on French passage retrieval data, it performs best on French-language content.