deepset-mxbai-embed-de-large-v1

Model Description

deepset-mxbai-embed-de-large-v1 is a powerful German/English embedding model developed through collaboration between deepset and Mixedbread. It sets a new performance standard among open-source embedding models, outperforming domain-specific alternatives in real-world applications.

The model was initialized from the multilingual-e5-large model and fine-tuned on over 30 million pairs of high-quality German data using the AnglE loss function. This extensive training enables the model to adapt to a wide range of topics and domains, making it suitable for various real-world applications and Retrieval-Augmented Generation (RAG) use cases.

deepset-mxbai-embed-de-large-v1 supports both binary quantization and Matryoshka representation learning (MRL). This allows for significant reductions in storage and infrastructure costs, with the potential for 97%+ cost savings through binary MRL.

The model achieves top performance on various benchmarks, including private and public datasets created in collaboration with deepset's clients. It demonstrates strong performance across diverse tasks, showcasing its versatility and robustness.