Qwen has released the Qwen3-VL-Embedding and Qwen3-VL-Reranker models, designed for advanced multimodal information retrieval and cross-modal understanding. These models support various inputs, including text and images, and enhance retrieval accuracy through a two-stage process of initial recall and precise re-ranking.

The article discusses a novel method for embedding millions of text documents using the Qwen3 model, highlighting its efficiency and performance improvements over previous techniques. It outlines the underlying technology, challenges faced during implementation, and potential applications in natural language processing tasks.