Getting Started on Dograh

Hello, my name is Abhishek and I am one of the founders at Dograh.

Dograh is an open source voice AI platform which helps you get started with building voice AI agents in under two minutes.

So this is a quick demo of how you can get started with Dograh, platform on your local machine.

So, you can copy this instruction to, get started with Docker.

you should have Docker installed on your machine.

If you don't have, you can go to the prerequisite, document to see how you can install Docker in your machine.

So once you have that, you can go paste this command in your new terminal.

It will take some moment, before this can be up.

so let's wait till this, till this stack is up.

So we can see that our docker stack has has come up and our UI has started at localhost3010.

So we'll go to localhost3010 on the browser and this will bring us to the Create workflow page so we can write any use case that we can think of.

So I'll write HR screening screen backend engineer candidates for senior engineer role.

We can give any use case that we have over here.

The more descriptive this we will provide the more the better workflow that we will get because all of these goes to LLM as a prompt.

Now we will let the the system create a workflow.

Once we have the workflow we can see the message that the workflow has been created using some artificial data.

the next steps would be we will try the workflow.

We can start the workflow by starting the call.

Hello.

This call may be recorded for quality and training purposes.

My name is Sam, I'm from HR screening specialist and I'd like to know your name and how I can help you today.

Hey, my name is Abhishek, how are you doing today?

I'm doing like pretty good, thanks for asking Abhishek.

So as you can see we can we can call the workflow when we have created the workflow and once we have that we can download the transcript, we can download the recording.

we can also customize the workflow according to our need now we can change these global prompts which describes the task at hand and we can include some of the logics that we think may be relevant for our use case.

So we have also open sourced all of our code base.

You can go check it out.

you can find more help on our README documentation and our documentation which is hosted@docs dota.com.

you can also join our Slack where we, our team and the community is here to help you if you have any questions in implementation.

I'm looking forward to have you on the community and I can't wait for you to try Dogra.

and thank you so much.