Did you know that ChatGPT can be used programmatically to extract information from invoices and structure it in a database, allowing you to perform Business Intelligence on the data afterward?
Today, I had a consulting session with an energy company that has to extract their customer bills into a table to analyze the data later.
Instead of creating a parser for each provider, create an algorithm in LangChain to structure the output and later put it on a table.
Before developing an algorithm, consider all options available because you'll save a lot of time.
In this case, let's say it costs you 10 hours to develop the algorithm to extract the billing information of a single provider. If your bills can be from 5 different providers, that's 50 hours of developing algorithms.
Then, imagine the providers changing the billing format from time to time.
Quite a nightmare, innit?
With LangChain, you create 1 algorithm that can be applied to any bill.
That's what scaling processes mean.
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