Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers
Sentence Transformers now supports multi-vector embedding approaches that improve semantic search quality through richer representation methods. This enables more flexible model architectures for retrieval applications.
Why this matters
Sentence Transformers now supports multi-vector embedding approaches that improve semantic search quality through richer representation methods. This enables more flexible model architectures for retrieval applications.
Check the original work
This explanation is Korpalis’s guide to the material, not a replacement for it. Read the publisher’s page for the full method, evidence and limitations.