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unshDee/README.md

Ansh Dawda

MSc Data Science & AI @ UdS. Werkstudent at DHC

I build RAG systems and LLM pipelines mostly — retrieval, evaluation, knowledge graphs

anshdawda.me · Saarbrücken, Germany

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  1. proofrag proofrag Public

    Point your agent at your docs and your RAG app; get a golden test set + an LLM-as-judge & retrieval scorecard, in one command.

    Python 1

  2. rag-utils rag-utils Public

    Reusable utilities for RAG pipelines: chunking strategies, embedding wrappers, retrieval evaluation helpers.

    Python

  3. FactCheckLIAR FactCheckLIAR Public

    Fact-verification pipeline with hybrid BM25 + dense retrieval on the LIAR misinformation dataset. Streamlit interface for real-time claim checking.

    Python