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In the rapidly developing field of artificial intelligence today, Alibaba officially open-sourced its new Qwen3 Embedding model series on June 6th. Based on the Qwen3 foundation model, this model is optimized for tasks such as text representation, retrieval, and ranking, marking another significant breakthrough for Alibaba in the AI field. Compared to the previous version, Qwen3 Embedding has achieved over a 40% performance improvement in core tasks such as text retrieval, clustering, and classification. This progress not only makes it more competitive

Recently, the official Qwen announced the release of the Qwen3-Embedding series models, as new members of the Qwen model family. These models are specifically designed for text representation, retrieval, and ranking tasks. The Qwen3-Embedding series is trained based on the Qwen3 base model, fully inheriting its significant advantages in multi-language text understanding capabilities. These models have performed excellently in various benchmark tests, especially showcasing outstanding performance in text representation and ranking tasks. The test used MTE