A repo for me to play around with RAG (retrieval augmented generation) using LDS scriptures
To set up your environment and download data, run startup.sh. This will download data into the data directory and create an environment ollama_env
In order to run the python files, run source ollama_env/bin/activate. You will also need to have an ollama server running locally, and you need to have pulled the models for 'llama3' and 'nomic-embed-text'
To create the feature store which will be used in RAG, run create_embeddings.py. This will need to be done before running answer_scripture_questions.py
Finally, once the above steps are done, to ask a question about the scriptures run answer_scripture_questions.py.