AnkitNayak-eth/EpsteinFiles-RAG

A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).

Python254 stars39 forks

Topics

#epstein#epstein-files#rag#rag-chatbot#rag-pipeline

What it does

The EpsteinFiles-RAG repository implements a RAG pipeline using the 'Epstein Files 20K' dataset, enabling efficient document retrieval and context-based answers. It emphasizes transparency and research, making it a valuable resource for developers and researchers in AI and NLP.

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Tracking

Last trending: 2026-02-21

Creator kit

Hook

Explore the EpsteinFiles-RAG repo to harness the power of document retrieval and context-driven answers using cutting-edge AI!

Content angles

Create a tutorial on setting up the RAG pipeline from scratch using this repository.
Discuss the implications of using LLMs with strict context retrieval to avoid hallucinations.
Review the tech stack and its components, highlighting how they work together in this project.

Who should care

AI developers, data scientists, and researchers interested in document retrieval systems.