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Mixedbread·Mar 12, 2026·v3·Search & Retrieval
Mixedbread Wholembed v3
Mixedbread Wholembed v3 is a unified omnimodal multilingual late-interaction retrieval model that sets a new state-of-the-art across text, audio, images, and video. It is the first semantic model to outperform lexical-based retrieval on LIMIT benchmark and powers Mixedbread Search as the default model.
SearchEmbeddingsMultimodal AIRetrievalRAG
overview
Mixedbread Wholembed v3 is a unified omnimodal multilingual late-interaction retrieval model that sets a new state-of-the-art across text, audio, images, and video. It is the first semantic model to outperform lexical-based retrieval on LIMIT benchmark and powers Mixedbread Search as the default model.
key features
- 01First semantic retrieval model to surpass lexical BM25 on the LIMIT benchmark
- 02Unified retrieval across text, audio, images, and video in 100+ languages
- 032M free tokens for new users; default model for all new Mixedbread Search stores
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