The crispy sentence embedding family from Mixedbread . Mixedbread x deepset 🍞 Looking for a simple end to end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. mixedbread ai/deepset mxbai embed de large v1 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 Performance On the NDCG@10 metric, our model achieves an average performance of 51.7, setting a new standard for open source German embedding models: Model Avg. Performance (NDCG@10) Binary Support MRL Support deepset mxbai embed de large v1 51.7 ✅ ✅ multilingual e5 large 50.5 ❌ ❌ jina embeddings v2 base de 50.0 ✅ ❌ Closed Source Models Cohere Multilingual v3 52.4…
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