Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers

Hugging Face has introduced support for multi-vector embedding models within the Sentence Transformers library. By storing multiple vectors per token rather than a single compressed vector for an entire sentence, these models improve retrieval accuracy for complex search queries. This update enables developers to implement late interaction techniques, which balance the efficiency of vector search with the precision of traditional cross-encoder re-ranking methods.