Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Alibaba's Qwen team released Qwen3 Embedding series, open-sourced text embedding and reranking models built on Qwen3 foundation achieving SOTA on multiple benchmarks.
Excerpt
GITHUB HUGGING FACE MODELSCOPE DISCORD
We release Qwen3 Embedding series, a new proprietary model of the Qwen model family. These models are specifically designed for text embedding, retrieval, and reranking tasks, built on the Qwen3 foundation model. Leveraging Qwen3’s robust multilingual text understanding capabilities, the series achieves state-of-the-art performance across multiple benchmarks for text embedding and reranking tasks. We have open-sourced this series of text embedding and reranking models under the Apache 2.
Read at source: https://qwenlm.github.io/blog/qwen3-embedding/