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Wholembed v3

Wholembed v3 is designed for real-world retrieval across hundreds of languages and multiple modalities, including text, audio, and vision, and it is deployed as the default retriever powering new Mixedbread stores. It targets robust, high-precision retrieval for agentic and deep-research workflows, and is presented with benchmark results covering both structured-like retrieval stress tests and agent-oriented multi-step search evaluation.
New Multimodal Gen 3
Released: March 12, 2026

Overview

Wholembed v3 is Mixedbread’s unified omnimodal, multilingual late-interaction retrieval model built for state-of-the-art search across languages and modalities.

About mixedbread ai

Mixedbread is an applied research lab fundamentally rethinking retrieval. Our mission is to build the memory for AI, ensuring intelligent systems have perfect context to understand the world and interact with it in meaningful ways.

Location: San Francisco, California, US
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Last updated: March 13, 2026
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