reranking

Multimodal Embedding & Reranker Models with Sentence Transformers

Hugging Face's Sentence Transformers library has added support for multimodal embedding and reranking models, enabling joint text-image (and potentially other modality) representations within a unified framework. The update extends the library's existing text-focused embedding capabilities to handle cross-modal retrieval and reranking tasks. This lowers the barrier for practitioners building multimodal search and RAG pipelines using open-weights models.