<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm-Augmentation on Noureddine RAMDI</title><link>https://ramdi.fr/tags/llm-augmentation/</link><description>Recent content in Llm-Augmentation on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/llm-augmentation/index.xml" rel="self" type="application/rss+xml"/><item><title>Understanding Awesome-GraphRAG: A Curated Survey and Benchmark for Graph-Based Retrieval-Augmented Generation</title><link>https://ramdi.fr/github-stars/understanding-awesome-graphrag-a-curated-survey-and-benchmark-for-graph-based-retrieval-augmented-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/understanding-awesome-graphrag-a-curated-survey-and-benchmark-for-graph-based-retrieval-augmented-generation/</guid><description>Awesome-GraphRAG is a curated repository organizing graph-based retrieval-augmented generation methods, with a taxonomy, benchmark, and original research from DEEP-PolyU.</description></item></channel></rss>