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docs: update dograh overview link

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Sabiha Khan 2026-03-12 18:53:42 +05:30
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docs/getting-started/index.mdx
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@ -1,17 +1,28 @@
--- ---
title: "Introduction" 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 ## 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: **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 - **100% open source** - no vendor lock-in, full transparency
- **Self-hostable** - deploy anywhere, own your infrastructure - **Self-hostable** - deploy anywhere, own your infrastructure
- **Complete control** - every line of code is open and customizable - **Complete control** - every line of code is open and customizable
- **2-minute setup** - from zero to working voice bot in under 2 minutes - **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 ## 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. 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. 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 ## Next Steps
You can see how to configure the inference provider in [Inference Provider](/configurations/inference-providers). You can see how to configure the inference provider in [Inference Provider](/configurations/inference-providers).