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podcast chatbot using the ell llm framework uses self RAG with memory

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Podcast Chatbot

Podcast chatbot for chat based on transcripts.

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

QDRANT_CLOUD_API_KEY
OPENAI_API_KEY
GROQ_API_KEY
ZEP_API_KEY
COHERE_API_KEY

Where to get API keys
QDRANT_CLOUD_API_KEY from https://qdrant.tech
OPENAI_API_KEY from https://platform.openai.com
GROQ_API_KEY from https://console.groq.com
ZEP_API_KEY from https://www.getzep.com
COHERE_API_KEY from https://dashboard.cohere.com \

Run Locally

Clone the project

  git clone https://github.com/visith1577/podcast-chatbot.git

Go to the project directory

  cd podcast-chatbot

Install dependencies if uv package manager is not installed, install it.

  pip install uv 

install dependencies on to virtual environment

  uv run app.py

run data pipeline
go to notebooks folder and run data_injest.ipynb to populate database and setup user
ONLY IF .env not shared \

run app

  uv run streamlit run app.py

run ell studio

  ell-studio --storage ./logdir

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