The Sentence Transformers library now supports multi-vector embedding models. Unlike standard single-vector representations, late interaction allows for more granular matching between queries and documents. This update integrates ColBERT style architectures into a streamlined framework. Practitioners can now deploy high-precision retrieval systems without building custom indexing pipelines from scratch.