modified data/json location

Author: jcodella

Python/CosmosDB-NoSQL_VectorSearch/CosmosDB-NoSQL-Quickstart-RAG-Chatbot.ipynb

@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "1224b921-17e3-49fd-8abb-63459eeb2c28",
    "metadata": {},
    "outputs": [],
@@ -117,10 +117,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "305807f8-0205-481a-9d71-e8b88b504019",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Container with id 'vectorstore' created\n",
+      "Container with id 'vectorcache' created\n"
+     ]
+    }
+   ],
    "source": [
     "db = cosmos_client.create_database_if_not_exists(cosmos_database)\n",
     "\n",
@@ -197,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "7ccf697d-f12c-4205-8a93-114ff3c3c86e",
    "metadata": {},
    "outputs": [],
@@ -227,18 +236,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "efc296c5-82e3-4fc1-bff5-ea62893341f8",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4489"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Unzip the data file\n",
     "with zipfile.ZipFile(\"../../DataSet/Movies/MovieLens-4489-256D.zip\", 'r') as zip_ref: \n",
-    "    zip_ref.extractall(\"/Data\")\n",
+    "    zip_ref.extractall(\"../../DataSet/Movies/\")\n",
     "zip_ref.close()\n",
     "# Load the data file\n",
     "data =[]\n",
-    "with open('/Data/MovieLens-4489-256D.json', 'r') as d:\n",
+    "with open('../../DataSet/Movies/MovieLens-4489-256D.json', 'r') as d:\n",
     "    data = json.load(d)\n",
     "# View the number of documents in the data (4489)\n",
     "len(data) "
@@ -255,7 +275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "f4555af4-cf1e-483f-a6e0-1d27fc139c8b",
    "metadata": {},
    "outputs": [],
@@ -267,10 +287,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "becc3ad5-851c-4d44-8f6d-52a368d87b83",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Starting doc load, please wait...\n",
+      "Sent 100 documents for insertion into collection.\n",
+      "Sent 200 documents for insertion into collection.\n",
+      "Sent 300 documents for insertion into collection.\n",
+      "Sent 400 documents for insertion into collection.\n",
+      "Sent 500 documents for insertion into collection.\n",
+      "Sent 600 documents for insertion into collection.\n",
+      "Sent 700 documents for insertion into collection.\n",
+      "Sent 800 documents for insertion into collection.\n",
+      "Sent 900 documents for insertion into collection.\n",
+      "Sent 1000 documents for insertion into collection.\n",
+      "Sent 1100 documents for insertion into collection.\n",
+      "Sent 1200 documents for insertion into collection.\n",
+      "Sent 1300 documents for insertion into collection.\n",
+      "Sent 1400 documents for insertion into collection.\n",
+      "Sent 1500 documents for insertion into collection.\n",
+      "Sent 1600 documents for insertion into collection.\n",
+      "Sent 1700 documents for insertion into collection.\n",
+      "Sent 1800 documents for insertion into collection.\n",
+      "Sent 1900 documents for insertion into collection.\n",
+      "Sent 2000 documents for insertion into collection.\n",
+      "Sent 2100 documents for insertion into collection.\n",
+      "Sent 2200 documents for insertion into collection.\n",
+      "Sent 2300 documents for insertion into collection.\n",
+      "Sent 2400 documents for insertion into collection.\n",
+      "Sent 2500 documents for insertion into collection.\n",
+      "Sent 2600 documents for insertion into collection.\n",
+      "Sent 2700 documents for insertion into collection.\n",
+      "Sent 2800 documents for insertion into collection.\n",
+      "Sent 2900 documents for insertion into collection.\n",
+      "Sent 3000 documents for insertion into collection.\n",
+      "Sent 3100 documents for insertion into collection.\n",
+      "Sent 3200 documents for insertion into collection.\n",
+      "Sent 3300 documents for insertion into collection.\n",
+      "Sent 3400 documents for insertion into collection.\n",
+      "Sent 3500 documents for insertion into collection.\n",
+      "Sent 3600 documents for insertion into collection.\n",
+      "Sent 3700 documents for insertion into collection.\n",
+      "Sent 3800 documents for insertion into collection.\n",
+      "Sent 3900 documents for insertion into collection.\n",
+      "Sent 4000 documents for insertion into collection.\n",
+      "Sent 4100 documents for insertion into collection.\n",
+      "Sent 4200 documents for insertion into collection.\n",
+      "Sent 4300 documents for insertion into collection.\n",
+      "Sent 4400 documents for insertion into collection.\n",
+      "All 4489 documents inserted!\n",
+      "Time taken: 92.83 seconds (92.834 milliseconds)\n"
+     ]
+    }
+   ],
    "source": [
     "import asyncio\n",
     "import time\n",
@@ -623,7 +697,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,