Add CTA for Gradio-based RAG Q&A app

jayrodge · web-flow · commit 2f98ac5f27aa · 2024-08-22T22:59:12.000-07:00
diff --git a/RAG/notebooks/llamaindex/llamaindex_basic_RAG.ipynb b/RAG/notebooks/llamaindex/llamaindex_basic_RAG.ipynb
@@ -15,7 +15,7 @@
    "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/)."
+  "Alternatively, for a more interactive experience with a graphical user interface, you can refer to our Gradio-based RAG Q&A reference application that also uses NVIDIA hosted NIM microservices [here](https://github.com/jayrodge/llm-assistant-cloud-app/)."
   ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -15,7 +15,7 @@`
`15`	`15`	`"source": [`
`16`	`16`	`"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",`
`17`	`17`	`"\n",`
`18`		`- "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/)."`
	`18`	`+ "Alternatively, for a more interactive experience with a graphical user interface, you can refer to our Gradio-based RAG Q&A reference application that also uses NVIDIA hosted NIM microservices [here](https://github.com/jayrodge/llm-assistant-cloud-app/)."`
`19`	`19`	`]`
`20`	`20`	`},`
`21`	`21`	`{`