# MetaAI's Llama 4 and DeeSeek-R1 compared using RAG

This tutorials build a RAG app powered by [LlamaIndex](https://www.llamaindex.ai/) to compare Llama 4 and DeeSeek-R1. We have used [Opik](https://github.com/comet-ml/opik) for evaluation and observability, which is 100% open-source and nicely integrates with alsmot all popular frameworks.

You can quickly test it on your own complex docs [here](https://eyelevel.ai/).

### Setup

To sync dependencies, run:

```sh
uv sync
```

### Environment Variables

You need to set up the following environment variables:

```sh
GROQ_API_KEY=...
OPENAI_API_KEY=...
```
OpenAI API key needed for using o1 and a judge during evaluation

Ensure these variables are configured correctly before running the application use `.env.example` as reference and create your own `.env` file.

Run the streamlit app using `streamlit run app.py`

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## Contribution

Contributions are welcome! Please fork the repository and submit a pull request with your improvements.