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

TL;DR - Hugging Face presents multi-vector embedding models with late interaction in Sentence Transformers. With only the title available, specific implementation details and results cannot be verified.

• Multi-vector encoders represent each input using multiple embeddings rather than one pooled vector.
• Late interaction compares these vectors during retrieval or ranking instead of collapsing them beforehand.
• The post concerns support for this model class within the Sentence Transformers ecosystem.