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deepset-mxbai-embed-de-large-v1

🍞 Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. This model is a powerful open-source German/English embedding model developed by Mixedbread in collaboration with deepset. It's built upon intfloat/multilingual-e5-large and trained using the AnglE loss. Read more details in our blog post. **In a bread loaf**: - State-of-the-art performance - Supports both binary quantization and Matryoshka Representation Learning (MRL). - Fine-tuned on 30+ million pairs of high-quality German data - Optimized for retrieval tasks - Supported Languages: German and English. - Requires a prompt: `query: {query}` for the query and `passage: {doc}` for the document

🍞 Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. This model is a powerful open-source German/English embedding model developed by Mixedbread in collaboration with deepset. It's built upon intfloat/multilingual-e5-large and trained using the AnglE loss. Read more details in our blog post. **In a bread loaf**: - State-of-the-art performance - Supports both binary quantization and Matryoshka Representation Learning (MRL). - Fine-tuned on 30+ million pairs of high-quality German data - Optimized for retrieval tasks - Supported Languages: German and English. - Requires a prompt: `query: {query}` for the query and `passage: {doc}` for the document

Sources

huggingface.co β†—