Qwen3 Multimodal Embeddings - Finally, RAG That Sees

Explore the groundbreaking Qwen3 VL embeddings and re-rankers in this comprehensive 19-minute tutorial that demonstrates how multimodal embeddings enable RAG systems to process visual content alongside text. Begin with a foundational refresher on embeddings before diving into the recent Qwen3-VL release, examining its key features and capabilities for handling both visual and textual data. Learn about the Qwen3-VL Embeddings and Qwen3-VL Rerankers models, review their performance on the MMEB leaderboard, and discover practical use cases for multimodal RAG applications. Follow along with a hands-on Colab demonstration that includes working code examples to implement these multimodal embeddings in your own projects, complete with access to the official blog post, Hugging Face collections, and GitHub repository for further exploration.