Fix documentation build issues

docs/docs/requirements.txt

@@ -4,4 +4,12 @@ sphinx-autodoc-typehints==1.25.2
 sphinx-copybutton==0.5.2
 myst-parser==2.0.0
 nbsphinx==0.9.3
-sphinx-design==0.5.0
+sphinx-design==0.5.0
+ipython
+jupyter
+matplotlib
+numpy
+pandas
+scikit-learn
+scipy
+faiss-cpu

docs/docs/source/conf.py

@@ -33,4 +33,20 @@
     'deflist',
 ]
 
-nbsphinx_execute = 'never'
+nbsphinx_execute = 'never'
+nbsphinx_allow_errors = True
+nbsphinx_kernel_name = 'python3'
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+exclude_patterns = ['_build', '**.ipynb_checkpoints']
+
+# The suffix(es) of source filenames.
+source_suffix = {
+    '.rst': 'restructuredtext',
+    '.md': 'markdown',
+    '.ipynb': 'nbsphinx',
+}

docs/docs/source/examples/anomaly_detection.ipynb

@@ -1,5 +1,20 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Anomaly Detection Example\n",
+    "\n",
+    "This notebook demonstrates how to use Time Series RAG for anomaly detection in sensor data.\n",
+    "\n",
+    "**Note**: This is a documentation example. To run this notebook, make sure you have installed the package and its dependencies:\n",
+    "\n",
+    "```bash\n",
+    "pip install -e .\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

docs/docs/source/examples/pattern_recognition.ipynb

@@ -1,5 +1,20 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Pattern Recognition Example\n",
+    "\n",
+    "This notebook demonstrates how to use Time Series RAG for pattern recognition tasks.\n",
+    "\n",
+    "**Note**: This is a documentation example. To run this notebook, make sure you have installed the package and its dependencies:\n",
+    "\n",
+    "```bash\n",
+    "pip install -e .\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},