diff --git a/doc/source/tune.rst b/doc/source/tune.rst
index 3e1e450fc..cf0314549 100644
--- a/doc/source/tune.rst
+++ b/doc/source/tune.rst
@@ -15,7 +15,7 @@ Tune is a Python library for experiment execution and hyperparameter tuning at a
   * Choose among state of the art algorithms such as :ref:`Population Based Training (PBT) <tune-scheduler-pbt>`, :ref:`BayesOptSearch <bayesopt>`, :ref:`HyperBand/ASHA <tune-scheduler-hyperband>`.
   * Move your models from training to serving on the same infrastructure with `Ray Serve`_.
 
-.. _`Ray Serve`: rayserve/overview.html
+.. _`Ray Serve`: serve/index.html
 
 **Want to get started?** Head over to the :ref:`60 second Tune tutorial <tune-60-seconds>`.