> ## Documentation Index > Fetch the complete documentation index at: https://docs.getmetal.io/llms.txt > Use this file to discover all available pages before exploring further. # Build a Chatbot > Build a custom chatbot on your data in just a few steps. ## 1. Create an App Go to your organization [Dashboard](https://app.getmetal.io) and start by creating a new App. Give it a name and select type: Chatbot. chatbot-1 ## 2. Connect to Datasource A Datasource is a collection of data that will feed your app. You can add multiple files or Data Entities to a Datasource. Connect your app to an existing Datasource or create a new one. chatbot-2 ## 3. Add Data Entities A Data Entity is a single file or entry in a Datasource. Accepted file formats are PDF, DOC, DOCX, XLSX, and CSV. After you've added a Data Entity, Metal will create an Index, process the data into chunks, and generate the embeddings that will be used to match the user's input to the right response. chatbot-3 ## 4. Deploy your Chatbot Try out your chatbot with Metal's open source [Chatbot UI](https://github.com/getmetal/chatbot). Start by cloning the repo and following the instructions in the README. You'll need to add Open AI `API Key`, and Metal's `API key`, `Client Id` and `Index Id` to the `.env.local file`. chatbot-4