diff --git a/bayesflow/adapters/transforms/filter_transform.py b/bayesflow/adapters/transforms/filter_transform.py
index 88374738b..873cf6699 100644
--- a/bayesflow/adapters/transforms/filter_transform.py
+++ b/bayesflow/adapters/transforms/filter_transform.py
@@ -19,6 +19,11 @@ def __call__(self, key: str, value: np.ndarray, inverse: bool) -> bool:
 
 @serializable(package="bayesflow.adapters")
 class FilterTransform(Transform):
+    """
+    Implements a transform that applies a different transform on a subset of the data. Used by other transforms and
+    base adapter class.
+    """
+
     def __init__(
         self,
         *,
diff --git a/bayesflow/adapters/transforms/rename.py b/bayesflow/adapters/transforms/rename.py
index 996331676..b8b1a8359 100644
--- a/bayesflow/adapters/transforms/rename.py
+++ b/bayesflow/adapters/transforms/rename.py
@@ -7,6 +7,24 @@
 
 @serializable(package="bayesflow.adapters")
 class Rename(Transform):
+    """
+    Transform to rename keys in data dictionary. Useful to rename variables to match those required by
+    approximator. This transform can only rename one variable at a time.
+
+    Parameters:
+        - from_key: str of variable name that should be renamed
+        - to_key: str representing new name
+
+    Example:
+        adapter = (
+            bf.adapters.Adapter()
+
+            # rename the variables to match the required approximator inputs
+            .rename("theta", "inference_variables")
+            .rename("x", "inference_conditions")
+        )
+    """
+
     def __init__(self, from_key: str, to_key: str):
         super().__init__()
         self.from_key = from_key