diff --git a/pandas/core/series.py b/pandas/core/series.py
index a613b22ea9046..141d738d0c3bf 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -2080,16 +2080,53 @@ def autocorr(self, lag=1):
 
     def dot(self, other):
         """
-        Matrix multiplication with DataFrame or inner-product with Series
-        objects. Can also be called using `self @ other` in Python >= 3.5.
+        Compute the dot product between the Series and the columns of other.
+
+        This method computes the dot product between the Series and another
+        one, or the Series and each columns of a DataFrame, or the Series and
+        each columns of an array.
+
+        It can also be called using `self @ other` in Python >= 3.5.
 
         Parameters
         ----------
-        other : Series or DataFrame
+        other : Series, DataFrame or array-like
+            The other object to compute the dot product with its columns.
 
         Returns
         -------
-        dot_product : scalar or Series
+        scalar, Series or numpy.ndarray
+            Return the dot product of the Series and other if other is a
+            Series, the Series of the dot product of Series and each rows of
+            other if other is a DataFrame or a numpy.ndarray between the Series
+            and each columns of the numpy array.
+
+        See Also
+        --------
+        DataFrame.dot: Compute the matrix product with the DataFrame.
+        Series.mul: Multiplication of series and other, element-wise.
+
+        Notes
+        -----
+        The Series and other has to share the same index if other is a Series
+        or a DataFrame.
+
+        Examples
+        --------
+        >>> s = pd.Series([0, 1, 2, 3])
+        >>> other = pd.Series([-1, 2, -3, 4])
+        >>> s.dot(other)
+        8
+        >>> s @ other
+        8
+        >>> df = pd.DataFrame([[0 ,1], [-2, 3], [4, -5], [6, 7]])
+        >>> s.dot(df)
+        0    24
+        1    14
+        dtype: int64
+        >>> arr = np.array([[0, 1], [-2, 3], [4, -5], [6, 7]])
+        >>> s.dot(arr)
+        array([24, 14])
         """
         from pandas.core.frame import DataFrame
         if isinstance(other, (Series, DataFrame)):