Document chatbot for research (newbie question)

I am working on a policy research project and feel that generative AI tools would be massively helpful in working with large volumes of source material. I’ve been saving PDFs and Word files locally under folders that correspond to sections of a report. I’d love to have AI assistance in querying for chunks of content, coming up with outlines, etc.

Apparently this is the domain of document chatbots and I’m finding lots of video tutorials on use of Langchain, Local LLMs, Private GPT, etc. etc. I’m confused by it all as I have no coding skills, I’ve never used Github, don’t even know what editors they are using on these tutorials and what I need to have installed.

Can someone advise me on the most efficient learning pathway to get something up and running? Longer-term, I’d love to study and become proficient in all this, but I’d also like to get started asap.

BTW, I played around with an online solution (Quivr), but was underwhelmed by the results. I uploaded 5 pdfs and felt the responses to my queries drew heavily from one report without systematically combing through everything.

Thank you!