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Regarding Sentence Transformers v6.0 update: A dense model compresses a whole text into one vector, then compares two vectors. A multi-vector model keeps one vector per token, scores every query token against every document token, takes the best match for each, and sums those. https://t.co/ksnigtsLpm
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"text": "🚨I've just released Sentence Transformers v6.0! \n\nMultiVectorEncoder joins the family: ColBERT-style late interaction models are now a first-class model type, for training, inference & interpretation, alongside dense, sparse & reranker models.\n\nBig thread 🧵 https://t.co/ISw3djLwUw",
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