Update README.md

README.md

@@ -91,6 +91,17 @@ SentenceTransformer(
 
 Evaluation to come.
 
+## FAQ
+
+**Q: Is this Model better than V2?**
+**A:** In terms of flexibility-definitely. In terms of data-yes as well, as it is more up-to-date. In terms of benchmark they differ, while V3 is better for longer texts, V2 works very well for shorter texts.
+
+**Q: How does the model perform vs. multilingual models?**
+**A:** There are really great multilingual models that will be very useful for many use-cases. This model shines with its cultural knowledge.
+
+**Q: What is the trade-off when reducing the embedding size?**
+**A:** Broadly speaking, when going from 1024 to 512 dimensions, there is very little trade-off (1 percent). When going down to 64 dimensions, you may face a decrease of up to 3 percent.
+
 ## Up next:
 German_Semantic_V3_Instruct: Guiding your embeddings towards self-selected aspects