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Embedchain offers a Streamlit template to facilitate the development of RAG chatbot applications in just three easy steps. Follow the instructions given below to deploy your first application quickly:

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Step-1: Create RAG app

We provide a command line utility called ec in embedchain that inherits the template for gradio.app platform and help you deploy the app. Follow the instructions to create a gradio.app app using the template provided:
Install embedchain
pip install embedchain
Create application
mkdir my-rag-app
ec create --template=gradio.app
This will generate a directory structure like this: 
├── app.py
├── embedchain.json
└── requirements.txt
Feel free to edit the files as required.
  • app.py: Contains API app code
  • embedchain.json: Contains embedchain specific configuration for deployment (you don’t need to configure this)
  • requirements.txt: Contains python dependencies for your application

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Step-2: Test app locally

You can run the app locally by simply doing:
Run locally
pip install -r requirements.txt
ec dev

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Step-3: Deploy to gradio.app

Deploy to gradio.app
ec deploy
This will run gradio deploy which will prompt you questions and deploy your app directly to huggingface spaces. gradio app

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Seeking help?

If you run into issues with deployment, please feel free to reach out to us via any of the following methods:

Talk to founders

Schedule a call

Slack

Join our slack community

Discord

Join our discord community