Initial notebooks for demo of the movies DB.

apps/jupyterlab/app/notebooks/hello.ipynb

@@ -32,6 +32,27 @@
     "response, _ = client.query([{\"GetStatus\": {}}])\n",
     "print(response)\n"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Other notebooks\n",
+    "\n",
+    "In addition, the other notebooks provided in here depend on data on your instance.\n",
+    "| Notebook(s) | Data | Remarks | Related Workflow | \n",
+    "| --- | --- | --- | --- |\n",
+    "| boundingbox.ipynb | Images with labels of chair or person | Ingesting COCO dataset would have these images | [Dataset Ingestion (COCO)](https://docs.aperturedata.io/workflows/ingest_datasets) |\n",
+    "| clip.ipynb | Images | Images present in the DB | [Generate Embeddings](https://docs.aperturedata.io/workflows/embeddings_extraction) | \n",
+    "| croissant.ipynb | Any dataset represented as croissant URL | Source such datasets from kaaggle, HF, etc. | [Ingest From a croissant URL](https://docs.aperturedata.io/workflows/ingest_from_croissant) |\n",
+    "| facedetection.ipynb | Images which have people in them | Ingesting COCO, celebA datasets would get some of thos images | [Dataset Ingestion](https://docs.aperturedata.io/workflows/ingest_datasets) | \n",
+    "| hello.ipynb | None | This NB ensures that connectivity to a DB is up and working | |\n",
+    "| mcp.ipynb | Any data | This NB has cells to interact with MCP server. | [MCP Server](https://docs.aperturedata.io/workflows/mcp_server) |\n",
+    "| ocr.ipynb | Documents scanned as images | This NB lets you interact with information extracted from text extracted from images | [OCR](https://docs.aperturedata.io/workflows/ocr_extraction) |\n",
+    "| rag.ipynb | A crawled website with segmentations and embeddings | | [Website Chatbot Workflow](https://docs.aperturedata.io/workflows/crawl_to_rag) |\n",
+    "| sql.ipynb | Interacts with a postgres server | Can be used with sql server workflow and Aperturedb | [SQL server](https://docs.aperturedata.io/workflows/sql_server) |\n",
+    "| movie_db | Notebooks to query a knowledge graph | Needs to have tmdb ingested into the Database | [Movie DB]()"
+   ]
   }
  ],
  "metadata": {