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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. 🚀 :clippy: “Implementation of Retrieval-Augmented Generation (RAG) with Streamlit and Python for the Humanities”, POUYLLAU, S. (2026), https:// doi.org/10.5281/

    A researcher named Pouyllau has published work on implementing Retrieval-Augmented Generation (RAG) using Streamlit and Python, specifically tailored for the humanities. This research also explores the extension of RAG towards agentic AI for social sciences and humanities (SHS) and discusses inference infrastructure. AI

    IMPACT This research demonstrates a practical application of RAG for humanities, potentially enabling new AI-driven research methods in the field.