Better documentation

[nihal-amat]

The documentation for using the solution is really bad, there is no guide on how to use it/which files to execute and so on, could someone provide better documentation similar to this:

https://github.com/microsoft/graphrag

[BenConstable9]

I'm looking to improve it as I know there are gaps. Let me know if you need anything clarified before it is all updated.

[nihal-amat]

Some points:

1. Just give one overall flow of what to run, how it is connected to other files, each step input and output (like data dictionary is used to create JSON files, then those are passed to the index used in AI search)
2. Tried to explain the function of each file in a short format, and how each of them are related.

Also on a side note, in the deploy AI folder, in the structured rag approach, are all 3 (schema store, column value store and query cache index required) to run it?

[BenConstable9]

Noted, thanks. Will improve these areas and make a get started guide.

Column value store / query cache are optional for the latest version but give better results.