AnkitNayak-eth/EpsteinFiles-RAG
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
This tool helps researchers and journalists quickly extract precise answers from massive document collections, even if the documents are fragmented. You feed in a large set of raw documents, and it automatically cleans, organizes, and processes them. The output is accurate answers to your questions, directly supported by the source documents, presented through a user-friendly interface.
358 stars.
Use this if you need to rapidly search and get fact-checked answers from hundreds of thousands or even millions of document lines without hallucination.
Not ideal if you're looking to generate creative content or summaries that go beyond the exact information present in your source documents.
Stars
358
Forks
58
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2026
Commits (30d)
0
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