Update README.md

README.md

@@ -54,7 +54,7 @@ PubMedBERT SPLADE produces higher quality sparse embeddings than generalized mod
 
 This model can be used to build embeddings databases with [txtai](https://github.com/neuml/txtai) for semantic search and/or as a knowledge source for retrieval augmented generation (RAG).
 
-_Note: txtai 9.0.0+ is required for sparse vector scoring support_
+_Note: txtai 9.0+ is required for sparse vector scoring support_
 
 ```python
 import txtai