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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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