I had a similar experience with ChatGPT and larger documents. Even basic RAG tasks don't work well (RAG = Retrieval-augmented generation). The most basic Langch

I had a similar experience with ChatGPT and larger documents. Even basic RAG tasks don't work well (RAG = Retrieval-augmented generation). The most basic Langchain RAG examples performs much better. The usual approach is to split up the document into pages and then smaller text fragments (a few hundred characters). Only those smaller fragments are then processed by the LLM. In this case I would take a similar approach, split the document into multiple smaller (and overlapping) fragments, let a LLM summarize each one of those into key findings, and in a next step merge those key findings to a summary. I have not a lot experience though, if this would provide better results.