Enabling an assistant to process and discuss uploaded documents

I’m trying to reproduce a use case where the assistant processes a PDF file uploaded by the user. The file could potentially be very large. Once uploaded, the user should be able to ask questions about its content, similar to how ChatGPT operates. The file must not need to be permanently stored ... it will only be retained temporarily within the conversational context.

What’s the best approach to achieve this in n8n? My idea is to break the file into smaller chunks and store them in a temporary buffer memory, such as a window buffer memory, allowing the agent to perform RAG searches on this temporary memory. Is this approach feasible in n8n, or is there a better alternative? How would you handle this scenario?

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