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README.md

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 - avemio/German-RAG-EMBEDDING-TRIPLES-HESSIAN-AI
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-<img src="https://www.German-RAG.ai/wp-content/uploads/2024/12/German-RAG-ICON-TO-WORDLOGO-Animation_Loop-small-ezgif.com-video-to-gif-converter.gif" alt="German-RAG Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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 # German-RAG-BGE-M3-TRIPLES-MERGED-HESSIAN-AI
 
 This is a [sentence-transformers](https://www.SBERT.net) model trained on this [Dataset](https://huggingface.co/datasets/avemio/German-RAG-Embedding-Triples-Hessian-AI) with roughly 300k Triple-Samples. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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-## Glossary
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-*Clearly define terms in order to be accessible across audiences.*
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-## Model Card Authors
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+## The German-RAG AI Team
+[Marcel Rosiak](https://de.linkedin.com/in/marcel-rosiak)
+[Soumya Paul](https://de.linkedin.com/in/soumya-paul-1636a68a)
+[Siavash Mollaebrahim](https://de.linkedin.com/in/siavash-mollaebrahim-4084b5153?trk=people-guest_people_search-card)
+[Zain ul Haq](https://de.linkedin.com/in/zain-ul-haq-31ba35196)