mem0/embedchain/examples/sadhguru-ai

Sadhguru AI

This directory contains the code used to implement Sadhguru AI using Embedchain. It is built on 3K+ videos and 1K+ articles of Sadhguru. You can find the full list of data sources here.

Run locally

You can run Sadhguru AI locally as a streamlit app using the following command:

export OPENAI_API_KEY=sk-xxx
pip install -r requirements.txt
streamlit run app.py

Note: Remember to set your OPENAI_API_KEY.

Deploy to production

You can create your own Sadhguru AI or similar RAG applications in production using one of the several deployment methods provided in our docs.