diff --git a/pyterrier_dr/pt_docs/index.rst b/pyterrier_dr/pt_docs/index.rst
index e6dfc55..92328c2 100644
--- a/pyterrier_dr/pt_docs/index.rst
+++ b/pyterrier_dr/pt_docs/index.rst
@@ -42,3 +42,4 @@ Import ``pyterrier_dr``, load a pre-built index and model, and retrieve:
     :maxdepth: 1
 
     prf
+    sbert
diff --git a/pyterrier_dr/pt_docs/sbert.rst b/pyterrier_dr/pt_docs/sbert.rst
index 73e0957..fb32ea7 100644
--- a/pyterrier_dr/pt_docs/sbert.rst
+++ b/pyterrier_dr/pt_docs/sbert.rst
@@ -1,7 +1,8 @@
 Using Sentence Transformer models for Dense retrieval in PyTerrier
 ==================================================================
 
-With PyTerrier_DR, its easy to support Sentence Transformer models, e.g. from HuggingFace, for dense retrieval.
+With PyTerrier_DR, its easy to support Sentence Transformer (formerly called SentenceBERT)
+models, e.g. from HuggingFace, for dense retrieval.
 
 The base class is ``SBertBiEncoder('huggingface/path')``;