xzc/mem0 @ 6437661837ce1d2222770bcd873731c1f826063e

Deshraj Yadav 6437661837 [Example] Add example for creating Sadhguru AI using Embedchain (#1032)		1 年之前
..
README.md	6437661837 [Example] Add example for creating Sadhguru AI using Embedchain (#1032)	1 年之前
app.py	6437661837 [Example] Add example for creating Sadhguru AI using Embedchain (#1032)	1 年之前
data.csv	6437661837 [Example] Add example for creating Sadhguru AI using Embedchain (#1032)	1 年之前
requirements.txt	6437661837 [Example] Add example for creating Sadhguru AI using Embedchain (#1032)	1 年之前

Sadhguru AI

This directory contains the code used to implement Sadhguru AI using Embedchain.

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.

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