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Created by team pepo on December 03, 2023

Parses pdf with pypdf Index Construction with LlamaIndex's GPTSimpleVectorIndex the text-embedding-ada-002 model is used to create embeddings see vector store index page to learn more indexes and files are stored on s3 Query the index uses the latest ChatGPT model gpt-3.5-turbo local mode for app (no s3) global variable use_s3 to toggle between local and s3 mode deploy app to streamlit cloud have input box for openai key uses pyarrow local FS to store files update code for new langchain update Custom prompts and tweak settings create a settings page for tweaking model parameters and provide custom prompts example Add ability to query on multiple files Compose indices of multiple lectures and query on all of them loop through all existing index, create the ones that haven't been created, and compose them together

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