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Show HN: RAG-powered search tool for 20k+ Epstein files
I built epfiles.ai to make the U.S. House Oversight Epstein document release actually searchable.
The files exist publicly, but they're scattered across nested Google Drive folders in mixed formats: PDFs, images, scanned documents. Manually searching through 20,000+ files is impractical for most people.
This tool lets you query the corpus in natural language. Every answer includes clickable citations to the exact source page, so you can verify against the original. The goal is document discovery, not replacing human verification.
Technical approach:
- OCR'd the entire corpus
- Chunked and embedded for semantic search
- RAG pipeline returns relevant passages with source links
- Citations point directly to the House Oversight Committee's Google Drive
I built this because I think public document releases should be usable, not just technically available. Happy to answer questions about the approach.
Demo: https://youtube.com/watch?v=7sQgRvwK3LE https://youtube.com/watch?v=7sQgRvwK3LE
- N_Lens 10mo agoI'd love to pose some quick questions (If I had more time) that collate the relevant data from the files, such as the contents linking DJT, or any other high profile individual.
- benbaessler 10mo agoYes that should definitely be doable, let me know if you need any help with anything.
- benbaessler 10mo agoHere's what it does: - Natural-language search over the full corpus - Results are document discovery, not “trust me” summaries - Every result includes clickable citations that jump to the exact source page in the committee’s Google Drive so you can verify context quickly Some useful test queries: - “Find documents mentioning [person/org] in connection with flights / schedules / contacts” - “Show mentions of ‘massage’, ‘modeling’, ‘recruiting’, ‘Palm Beach’, ‘New York’, ‘Little St. James’” - “What documents reference [date range] and [location]” Known limitations: - OCR noise on low-quality scans - Names/aliases can be inconsistent; citations are the ground truth