<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Retrieval-Augmented Generation | Language Technologies Lab</title><link>https://nlp.unibo.it/tag/retrieval-augmented-generation/</link><atom:link href="https://nlp.unibo.it/tag/retrieval-augmented-generation/index.xml" rel="self" type="application/rss+xml"/><description>Retrieval-Augmented Generation</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 18 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://nlp.unibo.it/media/logo.svg</url><title>Retrieval-Augmented Generation</title><link>https://nlp.unibo.it/tag/retrieval-augmented-generation/</link></image><item><title>Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study</title><link>https://nlp.unibo.it/publication/russo-etal-2026-railways-rag/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://nlp.unibo.it/publication/russo-etal-2026-railways-rag/</guid><description/></item><item><title>TextAlchemy: an NLP tool to accelerate and semi-automate data extraction, validated in the nutritional field</title><link>https://nlp.unibo.it/publication/saleem-butt-etal-2025-textalchemy/</link><pubDate>Thu, 04 Dec 2025 00:00:00 +0000</pubDate><guid>https://nlp.unibo.it/publication/saleem-butt-etal-2025-textalchemy/</guid><description/></item></channel></rss>