Beyond the Limit: Introduce Mixedbread Wholembed v3

Mixedbread has released Wholembed v3, a unified late-interaction retrieval model designed for multilingual, multimodal search across text, images, audio, and video, which will power all new Mixedbread Search stores by default. The company positions the model as a response to limitations in traditional semantic retrieval, particularly for complex agentic applications and real-world data such as OCR documents, scanned PDFs, screenshots, and instructional videos. Wholembed v3 reportedly achieved state-of-the-art results on the LIMIT benchmark, where it surpassed BM25 lexical retrieval with 92.45 Recall@5 versus 85.7, and was also evaluated for supporting deep-research agents on BrowseComp-Plus. Mixedbread attributes its performance to precise candidate discrimination and robustness to noisy, heterogeneous information, while claiming partner testing showed it could replace more complex retrieval pipelines across several domains. The model is publicly available through Mixedbread Search, includes built-in audio and video support, offers new users two million free tokens, and is accessible through the platform or API.

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