That's a good question, for e.g if you want to get Microsoft's revenues by product category or apple's revenues in greater China. https://imgur.com/a/LdQkt7j

You can also do this across time with constraints on context limits ...

What is a traditional method, would you search the string or would you find the named entity (using NLP) and look for the entity ? or do you mean a ctrl +F in the document ?

I guess the premise of LLMs, is that we have an intelligence that can read and write, so it can do this in an automated way in different applications. In this case, I am trying to automate and speed up the investment research process, along the way, we can create our own dataset of financial data that can be generated on the fly as necessary.

Also, how would you extract an income statement from the text, also in the same img using a traditional method ? I personally find it magical it can do that, it knows where it ends and so on...

Yes, this looks like a (hopefully) better information retrieval system than running CTRL+F over a PDF.

Nothing wrong with that :) information retrieval is hard. And CTRL+F won't render a table for queries like "what is the % increase of revenue over the last 3 quarter"-type queries.

Yes, information retrieval is hard :) A lot of people ask for 'can you get Apple's revenues by product category for all of 2020', how do you get the smallest piece of text that has the most information about product category and revenues ?I can get a lot of text, but that would mean I probably run over the context limit and so on :)