Show HN: I built a deep research tool for local file system

13 points

9 months ago

I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful.

so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section.

it feels like having a lightweight research assistant for my local file system. I have been trying it on papers, long reports and even scanned files and it already works better than I expected. repo - https://github.com/Datalore-ai/deepdoc

Currently citations are not implemented yet since this version was mainly to test the concept, I will be adding them soon and expand it further if you guys find it interesting.

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