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AnkitNayak-eth/EpsteinFiles-RAG — A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugg

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254 stars | 39 forks | Python

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

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.

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

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