The Sentence Transformers library now supports training and finetuning multi-vector embedding models. Unlike single-vector representations, this approach captures multiple semantic facets of a document. It improves retrieval accuracy for complex queries. Developers can now implement ColBERT-style late interaction architectures using a streamlined, standardized API for better search performance.