update readme

README.md

@@ -92,7 +92,17 @@ library_name: sentence-transformers
 
 # SentenceTransformer based on deepset/gbert-base
 
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [deepset/gbert-base](https://huggingface.co/deepset/gbert-base). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+## Model Description
+
+This model was trained as part of a Bachelor's thesis evaluating and comparing different retrieval architectures, specifically ColBERT, Cross-Encoders, and Bi-Encoders. The primary focus of this work was to assess retrieval effectiveness in a German-language information retrieval setting.
+Intended Use
+
+The model is intended for research and experimentation in the field of Information Retrieval (IR). It can be used to analyze retrieval quality in contrast to other architectures or as a reference for future work on ColBERT in German.
+Limitations & Warnings
+
+## ⚠ Not for Production Use
+This model is experimental and has not been optimized for production use. Performance, robustness, and scalability considerations have not been fully addressed, and real-world deployment is strongly discouraged.
+
 
 ## Model Details