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Researcher implements RAG for humanities with Python and Streamlit

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.

RANK_REASON The cluster contains an academic paper with a DOI, fitting the research bucket. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

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

    🚀 :clippy: “Implementation of Retrieval-Augmented Generation (RAG) with Streamlit and Python for the Humanities”, POUYLLAU, S. (2026), https:// doi.org/10.5281/zenodo.20595911 — Très heureux de participer cette année aux # JDEV pour présenter nos travaux sur l'implémentation de l…