Skip to content

Latest commit

 

History

History
19 lines (16 loc) · 748 Bytes

README.md

File metadata and controls

19 lines (16 loc) · 748 Bytes
Raw

Youtube-rag

This repository is a simple RAG system built to answer questions from a youtube video.

How to setup:

  • Simply clone the repo
  • Install the required libraries
  • Create a .env file and add these two environment variables: 
    OPENAI_API_KEY=""
PINECONE_API_KEY=""
    Copy your keys in it.
  • Setup free pinecone account. Create a simple project and in that project create an index. This name will be provided at the input.

Running app:

python rag.py --url {video_url} --index {index-name} --model {model name default: gpt-3.5-turbo} --transcript {path to create transcript file}

Below is a demo of output: image