diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index f9557603de5f06..7169ebc2ba2c9b 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -52,7 +52,7 @@ product better.
      Since the market of computing devices is constantly evolving, OpenVINO is always open to extending
      its support for new hardware. If you want to run inference on a device that is currently not supported,
      you can see how to develop a new plugin for it in the
-     [Plugin Developer Guide](https://docs.openvino.ai/canonical/openvino_docs_ie_plugin_dg_overview.html).
+     [Plugin Developer Guide](https://docs.openvino.ai/2024/documentation/openvino-extensibility/openvino-plugin-library.html).
 
 
 ### Improve documentation
diff --git a/docs/articles_en/get-started/install-openvino/install-openvino-pip.rst b/docs/articles_en/get-started/install-openvino/install-openvino-pip.rst
index be94336cb11c72..e6e75adca45c85 100644
--- a/docs/articles_en/get-started/install-openvino/install-openvino-pip.rst
+++ b/docs/articles_en/get-started/install-openvino/install-openvino-pip.rst
@@ -16,6 +16,7 @@ Install Intel® Distribution of OpenVINO™ Toolkit from PyPI Repository
      (all x86_64 / arm64 architectures)
    * macOS offers support only for CPU inference
 
+
 .. tab-set::
 
    .. tab-item:: System Requirements
@@ -29,10 +30,13 @@ Install Intel® Distribution of OpenVINO™ Toolkit from PyPI Repository
    .. tab-item:: Processor Notes
       :sync: processor-notes
 
-      | To see if your processor includes the integrated graphics technology and supports iGPU inference, refer to:
+      | To see if your processor includes the integrated graphics technology and supports iGPU
+        inference, refer to:
       | `Product Specifications <https://ark.intel.com/>`__
 
 
+
+
 Installing OpenVINO Runtime
 ###########################
 
@@ -124,20 +128,28 @@ to see if your case needs any of them.
 
 
 
+
+
 What's Next?
 ####################
 
-Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.
+Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning
+applications! Learn more about how to integrate a model in OpenVINO applications by trying out
+the following tutorials.
 
 .. image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
    :width: 400
 
-Try the `Python Quick Start Example <https://docs.openvino.ai/2024/notebooks/vision-monodepth-with-output.html>`__ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
+Try the `Python Quick Start Example <https://docs.openvino.ai/2024/notebooks/vision-monodepth-with-output.html>`__
+to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside
+your web browser.
+
 
 Get started with Python
 +++++++++++++++++++++++
 
-Visit the :doc:`Tutorials <../../../learn-openvino/interactive-tutorials-python>` page for more Jupyter Notebooks to get you started with OpenVINO, such as:
+Visit the :doc:`Tutorials <../../../learn-openvino/interactive-tutorials-python>` page for more
+Jupyter Notebooks to get you started with OpenVINO, such as:
 
 * `OpenVINO Python API Tutorial <https://docs.openvino.ai/2024/notebooks/openvino-api-with-output.html>`__
 * `Basic image classification program with Hello Image Classification <https://docs.openvino.ai/2024/notebooks/hello-world-with-output.html>`__
diff --git a/docs/sphinx_setup/conf.py b/docs/sphinx_setup/conf.py
index 218787355a2e36..5bf58f00374d2f 100644
--- a/docs/sphinx_setup/conf.py
+++ b/docs/sphinx_setup/conf.py
@@ -55,7 +55,7 @@
     '.md': 'markdown',
 }
 
-html_baseurl = 'https://docs.openvino.ai/canonical/'
+# html_baseurl = 'https://docs.openvino.ai/2024/'
 
 # -- Sitemap configuration ---------------------------------------------------