diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 0ffbdf47d54..e9fd29ce859 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -22,6 +22,7 @@
 
 from docutils.nodes import Text
 from sphinx.addnodes import pending_xref
+
 import cudf
 
 sys.path.insert(0, os.path.abspath(cudf.__path__[0]))
@@ -200,6 +201,7 @@
     "python": ("https://docs.python.org/3", None),
     "cupy": ("https://docs.cupy.dev/en/stable/", None),
     "numpy": ("https://numpy.org/doc/stable", None),
+    "pyarrow": ("https://arrow.apache.org/docs/", None),
 }
 
 # Config numpydoc
@@ -235,10 +237,17 @@ def resolve_aliases(app, doctree):
 
 def ignore_internal_references(app, env, node, contnode):
     name = node.get("reftarget", None)
-    if name is not None and name in _internal_names_to_ignore:
+    if name == "cudf.core.index.GenericIndex":
+        # We don't exposed docs for `cudf.core.index.GenericIndex`
+        # hence we would want the docstring & mypy references to
+        # use `cudf.Index`
+        node["reftarget"] = "cudf.Index"
+        return contnode
+    elif name is not None and name in _internal_names_to_ignore:
         node["reftarget"] = ""
         return contnode
 
+
 def process_class_docstrings(app, what, name, obj, options, lines):
     """
     For those classes for which we use ::
@@ -258,7 +267,6 @@ def process_class_docstrings(app, what, name, obj, options, lines):
 
 nitpick_ignore = [("py:class", "SeriesOrIndex"),]
 
-
 def setup(app):
     app.add_css_file("params.css")
     app.connect("doctree-read", resolve_aliases)
diff --git a/python/cudf/cudf/core/_base_index.py b/python/cudf/cudf/core/_base_index.py
index 8dbd71739b5..031dd58478b 100644
--- a/python/cudf/cudf/core/_base_index.py
+++ b/python/cudf/cudf/core/_base_index.py
@@ -41,8 +41,8 @@
 
 Parameters
 ----------
-dtype : numpy dtype
-    Use a numpy.dtype to cast entire Index object to.
+dtype : :class:`numpy.dtype`
+    Use a :class:`numpy.dtype` to cast entire Index object to.
 copy : bool, default False
     By default, astype always returns a newly allocated object.
     If copy is set to False and internal requirements on dtype are
diff --git a/python/cudf/cudf/core/column/string.py b/python/cudf/cudf/core/column/string.py
index c9665b51951..edb27cc3473 100644
--- a/python/cudf/cudf/core/column/string.py
+++ b/python/cudf/cudf/core/column/string.py
@@ -34,7 +34,7 @@
 )
 from cudf.core.buffer import Buffer
 from cudf.core.column import column, datetime
-from cudf.core.column.methods import ColumnMethods, ParentType
+from cudf.core.column.methods import ColumnMethods
 from cudf.utils.docutils import copy_docstring
 from cudf.utils.dtypes import can_convert_to_column
 
@@ -159,7 +159,7 @@ def htoi(self) -> SeriesOrIndex:
 
     hex_to_int = htoi
 
-    def ip2int(self) -> ParentType:
+    def ip2int(self) -> SeriesOrIndex:
         """
         This converts ip strings to integers
 
@@ -4950,7 +4950,7 @@ def edit_distance(self, targets) -> SeriesOrIndex:
             libstrings.edit_distance(self._column, targets_column)
         )
 
-    def edit_distance_matrix(self) -> ParentType:
+    def edit_distance_matrix(self) -> SeriesOrIndex:
         """Computes the edit distance between strings in the series.
 
         The series to compute the matrix should have more than 2 strings and
diff --git a/python/cudf/cudf/core/frame.py b/python/cudf/cudf/core/frame.py
index ab5fa2c3d0b..754d14278ce 100644
--- a/python/cudf/cudf/core/frame.py
+++ b/python/cudf/cudf/core/frame.py
@@ -537,7 +537,7 @@ def to_cupy(
 
         Parameters
         ----------
-        dtype : str or numpy.dtype, optional
+        dtype : str or :class:`numpy.dtype`, optional
             The dtype to pass to :func:`numpy.asarray`.
         copy : bool, default False
             Whether to ensure that the returned value is not a view on
@@ -572,7 +572,7 @@ def to_numpy(
 
         Parameters
         ----------
-        dtype : str or numpy.dtype, optional
+        dtype : str or :class:`numpy.dtype`, optional
             The dtype to pass to :func:`numpy.asarray`.
         copy : bool, default True
             Whether to ensure that the returned value is not a view on
diff --git a/python/cudf/cudf/core/groupby/groupby.py b/python/cudf/cudf/core/groupby/groupby.py
index 013ae7ad033..a6cbdc74c37 100644
--- a/python/cudf/cudf/core/groupby/groupby.py
+++ b/python/cudf/cudf/core/groupby/groupby.py
@@ -809,7 +809,7 @@ def transform(self, function):
 
         See also
         --------
-        cudf.core.groupby.GroupBy.agg
+        agg
         """
         try:
             result = self.agg(function)
diff --git a/python/cudf/cudf/core/index.py b/python/cudf/cudf/core/index.py
index 37039a009ca..e9a606ac0b5 100644
--- a/python/cudf/cudf/core/index.py
+++ b/python/cudf/cudf/core/index.py
@@ -2146,7 +2146,7 @@ class TimedeltaIndex(GenericIndex):
         This is not yet supported
     closed : str, optional
         This is not yet supported
-    dtype : str or numpy.dtype, optional
+    dtype : str or :class:`numpy.dtype`, optional
         Data type for the output Index. If not specified, the
         default dtype will be ``timedelta64[ns]``.
     name : object
diff --git a/python/cudf/cudf/core/indexed_frame.py b/python/cudf/cudf/core/indexed_frame.py
index 318cb1109de..a962ff5c0ab 100644
--- a/python/cudf/cudf/core/indexed_frame.py
+++ b/python/cudf/cudf/core/indexed_frame.py
@@ -2348,10 +2348,10 @@ def astype(self, dtype, copy=False, errors="raise", **kwargs):
         Parameters
         ----------
         dtype : data type, or dict of column name -> data type
-            Use a numpy.dtype or Python type to cast entire DataFrame object to
-            the same type. Alternatively, use ``{col: dtype, ...}``, where col
-            is a column label and dtype is a numpy.dtype or Python type
-            to cast one or more of the DataFrame's columns to
+            Use a :class:`numpy.dtype` or Python type to cast entire DataFrame
+            object to the same type. Alternatively, use ``{col: dtype, ...}``,
+            where col is a column label and dtype is a :class:`numpy.dtype`
+            or Python type to cast one or more of the DataFrame's columns to
             column-specific types.
         copy : bool, default False
             Return a deep-copy when ``copy=True``. Note by default
diff --git a/python/cudf/cudf/core/series.py b/python/cudf/cudf/core/series.py
index c1692187c3b..9c89739a73a 100644
--- a/python/cudf/cudf/core/series.py
+++ b/python/cudf/cudf/core/series.py
@@ -266,7 +266,7 @@ class Series(SingleColumnFrame, IndexedFrame, Serializable):
         If both a dict and index sequence are used, the index will
         override the keys found in the dict.
 
-    dtype : str, numpy.dtype, or ExtensionDtype, optional
+    dtype : str, :class:`numpy.dtype`, or ExtensionDtype, optional
         Data type for the output Series. If not specified,
         this will be inferred from data.
 
@@ -2129,7 +2129,7 @@ def applymap(self, udf, out_dtype=None):
             Either a callable python function or a python function already
             decorated by ``numba.cuda.jit`` for call on the GPU as a device
 
-        out_dtype  : numpy.dtype; optional
+        out_dtype : :class:`numpy.dtype`; optional
             The dtype for use in the output.
             Only used for ``numba.cuda.jit`` decorated udf.
             By default, the result will have the same dtype as the source.