chore: import upstream snapshot with attribution

packages/graphrag-cache/example_notebooks/basic_cache_example.ipynb

@@ -0,0 +1,96 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fcb917cf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Copyright (c) 2026 Microsoft Corporation.\n",
+    "# Licensed under the MIT License."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "33461307",
+   "metadata": {},
+   "source": [
+    "## Basic cache example\n",
+    "\n",
+    "This example shows how to create a JSON cache with file storage using the GraphRAG cache package's configuration system. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ee33abd6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Value stored in cache for 'my_key':\n",
+      "{'k1': 'object to cache'}\n",
+      "\n",
+      "Value stored in cache for cache_key using data dict:\n",
+      "{'k2': 'object to cache'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from graphrag_cache import CacheConfig, CacheType, create_cache, create_cache_key\n",
+    "from graphrag_storage import StorageConfig, StorageType\n",
+    "\n",
+    "\n",
+    "async def run():\n",
+    "    \"\"\"Demonstrate basic cache usage with graphrag_cache.\"\"\"\n",
+    "    cache = create_cache()\n",
+    "\n",
+    "    # The above is equivalent to the following:\n",
+    "    cache = create_cache(\n",
+    "        CacheConfig(\n",
+    "            type=CacheType.Json,\n",
+    "            storage=StorageConfig(type=StorageType.File, base_dir=\"cache\"),\n",
+    "        ),\n",
+    "    )\n",
+    "\n",
+    "    await cache.set(\"my_key\", {\"k1\": \"object to cache\"})\n",
+    "    print(\"Value stored in cache for 'my_key':\")\n",
+    "    print(await cache.get(\"my_key\"))\n",
+    "\n",
+    "    # create cache key from data dict.\n",
+    "    cache_key = create_cache_key({\"some_arg\": \"some_value\", \"something_else\": 5})\n",
+    "    await cache.set(cache_key, {\"k2\": \"object to cache\"})\n",
+    "    print(\"\\nValue stored in cache for cache_key using data dict:\")\n",
+    "    print(await cache.get(cache_key))\n",
+    "\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    await run()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}