GraphRAG Python Package: Accelerating GenAI With Knowledge Graphs

I am following the Blog GraphRAG Python Package: Accelerating GenAI With Knowledge Graphs to Build a knowledge Graph for internal documents. It works fine with the PDF Documents. Where as i have some Markdown documents, which I am trying to use the SimpleKGPipeline to build a knowledge graph. Though the Document says it currently supports PDF documents. I don't see much documentation for the API SimpleKGPipeline. IT was empty.
API Documentation ā€” neo4j-graphrag-python documentation

I am interested in developing similar stuff for the Markdown documents, Is there any good blog or document.

The reason behind the Markdown is I have a control to split the text based on the headers and I don't have to worry about the chunk overlaps. If you have any suggestion on the RAG application that will use the KG along with the full text or vector index to Answer the User questions.