docs: update dograh overview link

docs/getting-started/index.mdx

@@ -1,17 +1,28 @@
 ---
 title: "Introduction"
-description: "Open-source alternative to Vapi - build voice AI agents with full control and transparency"
+description: "Open-source alternative to Vapi - build voice AI agents with full control & transparency"
 ---
 
 ## About Dograh
 
 **Dograh is an open-source alternative to Vapi** - Dograh helps you build voice AI agents with an easy drag-and-drop workflow builder. Unlike proprietary solutions like Vapi, Dograh gives you:
-
 - **100% open source** - no vendor lock-in, full transparency
 - **Self-hostable** - deploy anywhere, own your infrastructure  
 - **Complete control** - every line of code is open and customizable
 - **2-minute setup** - from zero to working voice bot in under 2 minutes
 
+## Overview
+Watch the following video to learn about Dograh’s capabilities.
+
+<iframe
+  className="w-full aspect-video rounded-xl"
+  src="https://www.youtube.com/embed/sxiSp4JXqws"
+  title="Dograh Overview"
+  allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+  allowFullScreen
+></iframe>
+
+
 ## Setting up
 
 Get the platform up and running using Docker with a single command on your local computer. If you are looking to deploy the platform on a server, please check the [Deployment](deployment/introduction) section.
@@ -24,16 +35,6 @@ curl -o docker-compose.yaml https://raw.githubusercontent.com/dograh-hq/dograh/m
 
 Please check [Prerequisites](getting-started/prerequisites) for the system requirements and [Troubleshooting](getting-started/troubleshooting) for common issues.
 
-You can also watch below video to see the setup in action.
-
-<iframe
-  className="w-full aspect-video rounded-xl"
-  src="https://www.tella.tv/video/cmgbysbsz00kw0bjm2qnc5f1d/embed?b=1&title=1&a=1&loop=0&t=0&muted=0&wt=1"
-  title="Dogrh Getting Started"
-  allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
-  allowFullScreen
-></iframe>
-
 ## Next Steps
 
 You can see how to configure the inference provider in [Inference Provider](/configurations/inference-providers).