Add CTA for Gradio-based RAG Q&A app

Author: jayrodge

RAG/notebooks/llamaindex/llamaindex_basic_RAG.ipynb

@@ -12,9 +12,11 @@
    "cell_type": "markdown",
    "id": "2969cdab-82fc-4ce5-bde1-b4f629691f27",
    "metadata": {},
-   "source": [
-    "This notebook introduces how to use LlamaIndex to interact with NVIDIA hosted NIM microservices like chat, embedding, and reranking models to build a simple retrieval-augmented generation (RAG) application."
-   ]
+   "source":  [
+  "This notebook introduces how to use LlamaIndex to interact with NVIDIA hosted NIM microservices like chat, embedding, and reranking models to build a simple retrieval-augmented generation (RAG) application.\n",
+  "\n",
+  "Alternatively, for a more interactive experience with a graphical user interface, you can refer to our Gradio-based RAG Q&A application that also uses NVIDIA hosted NIM microservices [here](https://github.com/jayrodge/llm-assistant-cloud-app/)."
+  ]
   },
   {
    "cell_type": "markdown",