Run the app locally

• pip3 install -r requirements.txt
• python app.py

Scrape Data

To scrape the data, run the scraper.py script and save it in the following CSV format:

title, url, content

Split Data

As GPT-3.5 only supports 4k tokens, we need to split the data. To do this, run the splitter.py script.

Create Embeddings

Run the insert_emebedding.py script to create embeddings for the data and insert to table in supabase

Supabase Setup

For quick and easy to get started, Create a database in supabase and run the schema.sql script in Supabase. Enable vector extension

Environment Variables

Set the following environment variables in your ~/.bash_profile or ~/.bashrc file:

• SUPABASE_FN_URL (tim_search function URL)
• SUPABASE_URL
• SUPABASE_KEY
• OPENAI_API_KEY

Credits

Thanks to @tferriss for all the podcast

It was his podcast I first ever listen almost

If you have any questions, feel free to reach out to me on Twitter @_rshiva

I kept it as simple as possible for users to jump in OPENAI.