diff --git a/python/python/lancedb/embeddings/base.py b/python/python/lancedb/embeddings/base.py
index dc78e27a..f711e5b7 100644
--- a/python/python/lancedb/embeddings/base.py
+++ b/python/python/lancedb/embeddings/base.py
@@ -17,12 +17,13 @@ class EmbeddingFunction(BaseModel, ABC):
     """
     An ABC for embedding functions.
 
-    All concrete embedding functions must implement the following:
+    All concrete embedding functions must implement the following methods:
     1. compute_query_embeddings() which takes a query and returns a list of embeddings
-    2. get_source_embeddings() which returns a list of embeddings for the source column
+    2. compute_source_embeddings() which returns a list of embeddings for
+       the source column
     For text data, the two will be the same. For multi-modal data, the source column
     might be images and the vector column might be text.
-    3. ndims method which returns the number of dimensions of the vector column
+    3. ndims() which returns the number of dimensions of the vector column
     """
 
     __slots__ = ("__weakref__",)  # pydantic 1.x compatibility