doc: further restructure

cleans up samples and other structure

Signed-off-by: Anna Wojdylo <anna.wojdylo@nordicsemi.no>

Author: annwoj

doc/conf.py

@@ -34,11 +34,11 @@
 # -- Project information -----------------------------------------------------
 
 project = 'nRF Connect SDK - Edge AI Add-on'
-copyright = '2025, Nordic Semiconductor'
+copyright = '2026, Nordic Semiconductor'
 author = 'Nordic Semiconductor'
 
 # The full version, including alpha/beta/rc tags
-release = '2025'
+release = '2026'
 
 
 # -- General configuration ---------------------------------------------------

…arder/doc/images/ei_data_acquisition.png doc/images/ei_data_acquisition.pngsamples/edge_impulse/data_forwarder/doc/images/ei_data_acquisition.png renamed to doc/images/ei_data_acquisition.png samples/edge_impulse/data_forwarder/doc/images/ei_data_acquisition.png renamed to doc/images/ei_data_acquisition.png

@@ -25,7 +25,7 @@ Integration overview
 Before integrating the Edge Impulse machine learning model into an |EAI| application, you must prepare and deploy the machine learning model for your embedded device.
 This model is prepared using the `Edge Impulse studio`_ external web tool.
 It relies on sensor data that can be provided by different sources, for example data forwarder.
-Check the :ref:`ei_data_forwarder_sample` sample for a demonstration of how you can send sensor data to Edge Impulse studio using `Edge Impulse's data forwarder`_.
+Check the :ref:`include_ei_data_forwarder_sample` sample for a demonstration of how you can send sensor data to Edge Impulse studio using `Edge Impulse's data forwarder`_.
 
 The machine learning model is distributed as a single :file:`zip` archive that includes C++ library sources.
 This file is used by the |NCS| build system to build the Edge Impulse library.
@@ -53,7 +53,7 @@ This tutorial will guide you through the following steps:
 
    .. note::
      You can use one of the development boards supported directly by Edge Impulse or your mobile phone to collect the data.
-     You can also modify the :ref:`ei_data_forwarder_sample` application and use it to forward data from a sensor that is connected to any board available in the |NCS|.
+     You can also modify the :ref:`include_ei_data_forwarder_sample` application and use it to forward data from a sensor that is connected to any board available in the |NCS|.
 
 #. Designing your machine learning model (an *impulse*).
 #. Deploying the machine learning model to use it on an embedded device.
@@ -87,4 +87,4 @@ Applications and samples
 
 The following samples demonstrate the Edge Impulse integration in the |EAI|:
 
-* :ref:`ei_data_forwarder_sample` sample - demonstrates how you can send sensor data to Edge Impulse studio using `Edge Impulse's data forwarder`_.
+* :ref:`include_ei_data_forwarder_sample` sample - demonstrates how you can send sensor data to Edge Impulse studio using `Edge Impulse's data forwarder`_.

…rwarder/doc/images/ei_start_sampling.png doc/images/ei_start_sampling.pngsamples/edge_impulse/data_forwarder/doc/images/ei_start_sampling.png renamed to doc/images/ei_start_sampling.png samples/edge_impulse/data_forwarder/doc/images/ei_start_sampling.png renamed to doc/images/ei_start_sampling.png

@@ -96,7 +96,7 @@ Testing
    a. Go to the :guilabel:`Data acquisition` tab.
    #. In the **Collect data** panel, set the desired values and click :guilabel:`Start sampling`.
 
-      .. figure:: ./doc/images/ei_data_acquisition.png
+      .. figure:: ../../../doc/images/ei_data_acquisition.png
          :scale: 50 %
          :alt: Sampling under Data acquisition in Edge Impulse studio
 
@@ -105,7 +105,7 @@ Testing
    #. Observe the received sample data on the raw data graph under the panel.
       For the default sample configuration, you should observe sine waves.
 
-      .. figure:: ./doc/images/ei_start_sampling.png
+      .. figure:: ../../../doc/images/ei_start_sampling.png
          :scale: 50 %
          :alt: Sampling example