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:

Step-1: Create RAG app

We provide a command line utility called ec in embedchain that inherits the template for streamlit.io platform and help you deploy the app. Follow the instructions to create a streamlit.io app using the template provided:

Install embedchain
pip install embedchain
Create application
mkdir my-rag-app
ec create --template=streamlit.io

This will generate a directory structure like this:

โ”œโ”€โ”€ .streamlit
โ”‚   โ””โ”€โ”€ secrets.toml
โ”œโ”€โ”€ app.py
โ”œโ”€โ”€ embedchain.json
โ””โ”€โ”€ requirements.txt

Feel free to edit the files as required.

  • app.py: Contains API app code
  • .streamlit/secrets.toml: Contains secrets for your application
  • embedchain.json: Contains embedchain specific configuration for deployment (you donโ€™t need to configure this)
  • requirements.txt: Contains python dependencies for your application

Add your OPENAI_API_KEY in .streamlit/secrets.toml file to run and deploy the app.

Step-2: Test app locally

You can run the app locally by simply doing:

Run locally
pip install -r requirements.txt
ec dev

Step-3: Deploy to streamlit.io

Streamlit App deploy button

Use the deploy button from the streamlit website to deploy your app.

You can refer this guide if you run into any problems.

Seeking help?

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