update/landing

docs/astro.config.mjs

@@ -20,7 +20,7 @@ export default defineConfig({
 				'./src/styles/custom.css',
 			],
 			social: {
-				github: 'https://github.com/Azure-Samples/contoso-chat',
+				github: 'https://github.com/30DaysOf/deconstructing-contoso-chat',
 				twitter: 'https://twitter.com/azure',
 				youtube: 'https://youtube.com/@theaishowlive',
 			},

docs/src/content/docs/index.mdx

@@ -7,20 +7,20 @@ hero:
   image:
     file: ../../assets/logo.png
   actions:
-    - text: Explore Learning Guide
+    - text: Explore The Guide
       link: about/
-      icon: right-arrow
+      icon: open-book
       variant: primary
-    - text: ⭐️ Star The Repo 
-      link: https://github.com/30DaysOf/deconstructing-contoso-chat
-      icon: external
+    - text: Visit The Sample
+      link: https://github.com/Azure-Samples/contoso-chat
+      icon: github
 ---
 
-[Contoso Chat](https://aka.ms/aitour/contoso-chat) is a fast-evolving open-source application sample created by the Azure AI team, to showcase the latest features and workflows that can be used to build, run, evaluate, and deploy, a RAG-based LLM app to production, on Azure. This website is a **living guide** that will help learners explore the concepts and code, first to understand how it works, and then to reconstruct it from scratch with their own data and app requirements in mind. 
+[Contoso Chat](https://aka.ms/aitour/contoso-chat) is an always-evolving open-source sample showcasing end-to-end development of a RAG-based retail copilot application on Azure AI. The sample teaches you how to go from ideation (prompt engineering) to operationalization (LLM Ops) as you build, evaluate, and deploy, a generative AI application grounded in your organization's data - as shown in the illustrated guide below.
 
 **This is a work-in-progress.** Please check back for status updates.
 
-![Campsite image generated by AI](./../../assets/contoso-chat-realistic.jpeg)
+![Campsite image generated by AI](./../../assets/contoso-chat-sketchnote.png)
 
 
 {/*