LLM model for table data

[IamExperimenting]

Hi,

I'm currently working on building Question answering model using LLM(LLama). My data source is pdfs, I have 200 pdf files and I use PyPDF2 to extract data, while extracting the table inside the pdf file is also getting extracted but extracted table structure is messed up. when I tested with model with that messed table data, model isn't able to answer my question.

So, can anyone recommend any better method to tackle this scenario?

or is there any Large Language model to query table data?

please find the sample table data inside pdf file

sample questions will be like : what is the specification for network data?

[OperationalFallacy]

You'll be much better off with Aws Textract service. Or similar cloud service.

It's fast, cheap and pretty easy to setup (search textrack cdk)

The open source is barely working, it may be able to recognize most simple pdfs but anything work tables or form - nope.