Summarizing and extracting structured data from long text

Once you have the interview converted to text you need to create an embedding.
This is to be searched by your pinpointed questions and the result can be raw text or summarised, formatted by Chat GPT.
This is a very common method to process agreements, and business documents.

(So text splitter, chunks, embeddings, then query will give you very nice summary, category classification etc of the data)

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