A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
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Updated
Feb 14, 2026 - Python
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
Open source document processing pipeline for the Epstein case files. Download OCR, extract entities, deduplicate and export documents from the DOJ Releases
FULL_EPSTEIN_INDEX is a comprehensive, unified research archive aggregating public releases related to the Jeffrey Epstein estate and associated investigations.
Play Bad Apple and DOOM on redacted Epstein files and other documents. Implemented using KNN and feature vector.
Chat with the Epstein Case files
Download all Epstein files, images, pdfs, and more!
downloads .pdf files from DOJ website / epstein data-sets
Obsidian plugin to hide text using strikethrough-style masking
Download all of the Jeffrey Epstein court records with this Python script! Mirror of https://git.graveyard.sh/OfficialB/doj-epstein-crawler
This repository serves as a comprehensive directory and organizational hub for Epstein-related files and documentation with a full web interface, automated workflows, and AI agent infrastructure.
A data-driven audit of the 'Geopolitical Thermostat,' documenting how timed information disclosure regulates public attention to enable structural shifts in policy and capital flows.
Epstein files API MCP
Epstein email archive explorer — scraper, SQLite FTS5 indexer, FastAPI + D3.js web UI
🔍 Search Epstein court documents for mentions of your LinkedIn connections to uncover relevant insights into your network.
A reserch to the famous name on the epstein files library
Ask questions about the Epstein Files using AI - A RAG pipeline with hybrid search, re-ranking, and Streamlit UI built on the Epstein Files 20K dataset.
it's just a forked repo
A Python tool to automatically download and archive DOJ Epstein disclosure datasets, with support for resuming from a specific page and skipping already downloaded files. Designed for easy personal archiving and research purposes.
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