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AI · May 29, 2026

Epstein Files RAG

An Open Source RAG on Epstein Files

Epstein Files RAG launched on May 29, 2026 with 1 votes.

What it does

An open-source RAG platform to explore the unsealed Jeffrey Epstein court documents.

An open-source RAG platform to explore the unsealed Jeffrey Epstein court documents. - AbhisumatK/Epstein_Files_RAG

An open-source Retrieval-Augmented Generation (RAG) platform to explore and analyze the unsealed Jeffrey Epstein court documents. Built with LangChain, ChromaDB, and Streamlit. git clone https://github.com/AbhisumatK/Epstein_Files_RAG cd Epstein_Files_RAG # Optional create a virtual environment python -m venv venv . \v env \S cripts \a ctivate # On Windows # install dependencies pip install -r requirements.txt 3. Environment Configuration Copy the .env.example to .env and configure your providers: The Epstein dataset is massive (>200GB). By default, the ingestion script downloads only the first 0.5 GB chunk for testing. python ingest.py Estimated Time : ~3-5 minutes for the first chunk…from github.com

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