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AI · February 5, 2026

Epstein Files GPT

AI search through millions of declassified Epstein documents

Epstein Files GPT launched on February 5, 2026 with 2 votes, #6,500 of 16,627 launches that month.

What it does

The most comprehensive AI-powered search engine for the Epstein case files. Ask questions in plain English, get cited answers from millions of declassified documents. Multi-stage deep search with geographic mapping and AI-enriched metadata.

Search through Millions of declassified Epstein case documents using AI. Multi-stage deep search, geographic analysis, and AI-enriched metadata. The most comprehensive public archive.

The most comprehensive AI-powered search engine for over 1.3 million declassified Jeffrey Epstein case documents from the U.S. Department of Justice. Court records, depositions, flight logs, financial records, FBI files, correspondence, legal motions, and more. Search documents related to Jeffrey Epstein, Ghislaine Maxwell, Bill Clinton, Donald Trump, Prince Andrew, Alan Dershowitz, Les Wexner, Leon Black, Ehud Barak, and 219 other connected individuals. Please enable JavaScript to use the full interactive searchfrom epstein-gpt.com

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  • OA
    OSS AI agent that indexes and searches the Epstein filesJan 2026 · epstein.trynia.ai · ▲211

    Hi HN, I built an open-source AI agent that has already indexed and can search the entire Epstein files, roughly 100M words of publicly released documents. The goal was simple: make a large, messy corpus of PDFs and text files immediately searchable in a precise way, without relying on keyword search or bloated prompts. What it does: - The full dataset is already indexed - You can ask natural language questions - Answers are grounded and include direct references to source documents - Supports both exact text lookup and semantic search Discussion around these files is often fragmented. This…

  • EF
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    Hey all, Throwaway in case this is assumed to be politcally motivated. I spent some time organizing the Eptstein files to make transparency a little clearer. I need to tighten the data for organizations and people a bit more, but hopeful this is helpful in research in the interim.

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