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This is a longer alternative to main.py, grouping essential processes into customizable functions whose parameters are explained via docstring. This allows for greater degree of experimentation such as adjusting text splitter parameters, retriever parameters, and most imporantly, models used for embedding and generation. The code also includes a function for censoring pii, which is done after loading the document and before creating the embeddings. My source of reference is as follows: Langchain tutorial: https://youtu.be/yF9kGESAi3M?feature=shared Github repo used: https://github.com/bhancockio/langchain-crash-course (Only need to review the sections of 4-rag)
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This is a longer alternative to main.py, grouping essential processes into customizable functions whose parameters are explained via docstring. This allows for greater degree of experimentation such as adjusting text splitter parameters, retriever parameters, and most imporantly, models used for embedding and generation. The code also includes a function for censoring pii, which is done after loading the document and before creating the embeddings.
My source of reference is as follows:
Langchain tutorial: https://youtu.be/yF9kGESAi3M?feature=shared Github repo used: https://github.com/bhancockio/langchain-crash-course (Only need to review the sections of 4-rag)
I would like to note that the llm would vary depending on what the classification team comes up with. It is temporary, and could be integrated into main.py with changes depending on the llm and the unit tests involved.