mem0/examples/unacademy-ai

Unacademy UPSC AI

This directory contains the code used to implement Unacademy UPSC AI using Embedchain. It is built on 16K+ youtube videos and 800+ course pages from Unacademy website. You can find the full list of data sources here.

Run locally

You can run Unacademy 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 Unacademy AI or similar RAG applications in production using one of the several deployment methods provided in our docs.