A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
Get quick and accurate answers from a large dataset by processing and organizing documents intelligently.
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Free · no card · unsubscribe anytimeA RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
EpsteinFiles-RAG has 385 stars on GitHub. It has been forked 60 times. EpsteinFiles-RAG is written mainly in Python. It has been in active development since 2026. EpsteinFiles-RAG is available under the MIT license. Its main topics are epstein, epstein-files, rag, rag-chatbot.
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
EpsteinFiles-RAG is an open-source project. It is released under the MIT license.
Yes. EpsteinFiles-RAG is free and open source — you can use, modify and self-host it.
EpsteinFiles-RAG is available under the MIT license.
EpsteinFiles-RAG is written mainly in Python.
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