--- title: Qwen3 embedding and reranking models for retrieval are... description: AWS has made Qwen3-VL-Embedding-2B and Qwen3-Reranker-4B available in Amazon SageMaker JumpStart. The embedding model handles multimodal inputs (text, images,... canonical: https://daily.dev/posts/qwen3-embedding-and-reranking-models-for-retrieval-are-now-available-in-amazon-sagemaker-jumpstart-ojhynwdxt twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Qwen3 embedding and reranking models for retrieval are now available in Amazon SageMaker JumpStart | daily.dev og:description: AWS has made Qwen3-VL-Embedding-2B and Qwen3-Reranker-4B available in Amazon SageMaker JumpStart. The embedding model handles multimodal inputs (text, images,... og:url: https://daily.dev/posts/qwen3-embedding-and-reranking-models-for-retrieval-are-now-available-in-amazon-sagemaker-jumpstart-ojhynwdxt og:image: https://api.daily.dev/og/posts/oJHYNwDXT.png og:image:alt: Qwen3 embedding and reranking models for retrieval are now available in Amazon SageMaker JumpStart og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Qwen3 embedding and reranking models for retrieval are now available in Amazon SageMaker JumpStart **[AWS](https://daily.dev/sources/aws)** · 2 min read · 0 upvotes · 0 comments ## Summary AWS has made Qwen3-VL-Embedding-2B and Qwen3-Reranker-4B available in Amazon SageMaker JumpStart. The embedding model handles multimodal inputs (text, images, screenshots, videos) across 30+ languages, generating semantic vectors for tasks like image-text retrieval and visual question answering. The reranker model takes query-document pairs and outputs relevance scores for text, code, and multilingual content across 100+ languages. Both models are designed to work together in a two-stage retrieval pipeline and can be deployed via SageMaker Studio or the SageMaker Python SDK. ## Full article daily.dev links to this article rather than hosting it. 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