Update AISearch_RAG_chatbot.ipynb skill level

Author: zbyosufzai

notebooks/GenAI/notebooks/AISearch_RAG_chatbot.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# Document Embedding and Indexing with Azure OpenAI and AI Search\n",
     "\n",
-    "**Skill Level: Beginner**\n",
+    "**Skill Level: Intermediate**\n",
     "\n",
     "## Overview \n",
     "This tutorial provides a step-by-step guide on how to pull files from [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction), generate embeddings for these files, and store the embeddings in an [Azure AI Search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) index. Embeddings are numerical representations of text that capture the semantic meaning of the content, facilitating advanced search and analysis. An index in AI search is a data structure that organizes these embeddings to improve the speed and efficiency of search queries. Additionally, this tutorial demonstrates how to enable users to interact with these embedding indexes through Azure AI Search and [Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/overview), effectively allowing them to chat over the original files from Azure Blob Storage.\n",