Update README.md

README.md

@@ -90,8 +90,8 @@ Both GTE-ModernColBERT and ColBERT-small model cards have this comparison agains
 
 # How to use / Running inference:
 
-Short term: We are releasing a lib called [`lateness`](https://github.com/PrithivirajDamodaran/lateness)
-Medium to Long terms: There are really strong storage and retrieval abstractions: VectorDBs like Qdrant, Weaviate or Vespa that support multi-vectors and strong Colbert training libraries like PyLate, So we feel it is best to work the authors and integrate.
+- Short term: We are releasing a lib called `[lateness]`(https://github.com/PrithivirajDamodaran/lateness)
+- Medium to Long terms: There are really strong storage and retrieval abstractions: VectorDBs like Qdrant, Weaviate or Vespa that support multi-vectors and strong Colbert training libraries like PyLate, So we feel it is best to work the authors and integrate.
 For now we offer only code to load the model, run inference and do some light weight in-memory ranking (no heavy lifting like storing and retrieving using FAISS indexes).