update search example

examples/fine-tuned_qa/olympics-2-create-qa.ipynb

@@ -298,8 +298,10 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 2.5 Search file\n",
-    "We create a search file ([API reference](https://beta.openai.com/docs/api-reference/files/list)), which can be used to retrieve the relevant context when a question is asked.\n"
+    "## 2.5 Search file (DEPRECATED)\n",
+    "We create a search file ([API reference](https://beta.openai.com/docs/api-reference/files/list)), which can be used to retrieve the relevant context when a question is asked.\n",
+    "\n",
+    "<span style=\"color:orange\">**DEPRECATED: The /search endpoint is deprecated in favour of using embeddings. Embeddings are cheaper, faster and can support a better search experience. See [Question Answering Guide](https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb) for a search implementation using the embeddings**</span>\n"
    ]
   },
   {
@@ -725,11 +727,9 @@
   }
  ],
  "metadata": {
-  "interpreter": {
-   "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8"
-  },
   "kernelspec": {
-   "display_name": "Python 3.7.3 64-bit ('base': conda)",
+   "display_name": "Python 3.9.9 64-bit ('3.9.9')",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
@@ -742,9 +742,14 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.9.9"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "cb9817b186a29e4e9713184d901f26c1ee05ad25243d878baff7f31bb1fef480"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2