The latest Sentence Transformers update enables training and finetuning for multi-vector embedding models. This architecture represents documents as sets of vectors rather than single points. It improves retrieval accuracy for complex queries. Practitioners can now implement ColBERT-style late interaction models using a standardized, streamlined library for better semantic search performance.