Add notebook descriptions

Author: BenConstable9

text2sql/rag_with_ai_search_and_text_2_sql.ipynb

@@ -1,5 +1,16 @@
 {
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Text2SQL & AI Search with Semantic Kernel & Azure OpenAI\n",
+        "\n",
+        "This notebook demonstrates how the SQL plugin can be integrated with Semantic Kernel and Azure OpenAI to answer questions from the database based on the schemas provided. Additionally, it integrates with an AI Search plugin to show how both can be used in parallel to answer questions based on the best possible source. The prompt may need to be tweaked for your usage.\n",
+        "\n",
+        "A multi-shot approach is used for SQL generation for more reliable results and reduced token usage. More details can be found in the README.md."
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,

text2sql/rag_with_text_2_sql.ipynb

@@ -1,8 +1,19 @@
 {
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Text2SQL with Semantic Kernel & Azure OpenAI\n",
+        "\n",
+        "This notebook demonstrates how the SQL plugin can be integrated with Semantic Kernel and Azure OpenAI to answer questions from the database based on the schemas provided. \n",
+        "\n",
+        "A multi-shot approach is used for SQL generation for more reliable results and reduced token usage. More details can be found in the README.md."
+      ]
+    },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": 13,
       "metadata": {
         "gather": {
           "logged": 1718623217703