Hello, I'm new to graphrag and graphrag-accelerator, and I have a few questions after going through the advanced_getting_started.ipynb notebook and attempting to use graphrag with my own data:

1. I'm a bit confused about the relationship between graphrag and graphrag-accelerator, especially regarding Azure OpenAI usage. In the base graphrag package, I can set my Azure OpenAI credentials in a .env or yaml file instead of using an OpenAI API key. Does this mean I can use my Azure OpenAI subscription without necessarily using graphrag-accelerator? If so, are there any examples showing how to correctly configure these parameters for Azure OpenAI (assuming I already have the necessary models deployed in Azure OpenAI)?

2. My main question is about file format support: Can I use CSV files with graphrag-accelerator instead of TXT files, as is possible with the base graphrag package? All the example notebooks I've seen only mention TXT files. With CSV files, I could potentially set parameters for each chunk (like date or source) in separate columns. Is this possible with graphrag-accelerator, or is it limited to TXT files only?

3. I also encountered an error while processing a large CSV file (about 30k rows) using graphrag on my Mac. The initial processing completed successfully (the progress bar reached 100%, and my OpenAI API usage increased noticeably). However, in the final stage, I received this error:

   Error executing verb "cluster_graph" in create_base_entity_graph: Columns must be same length as key
   

   I suspect this error might be related to how line breaks are handled in the CSV (I replaced '\n' with actual line breaks), or possibly because I'm using Cyrillic data (though I'm not sure why this would be a problem). Has anyone encountered a similar issue? How can I resolve this?

Thank you in advance for any clarification you can provide!