<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Wed, 17 Jun 2026 14:52:41 GMT</lastBuildDate><atom:link href="https://ecency.com/hot/neo4j/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[知识图谱和图数据库Neo4j的作用和使用场景 / ai #52]]></title><description><![CDATA[相比传统RAG的碎片式的知识点不同，知识图谱就是要解决这个痛点。它更侧重于宏观式的、总括式的归纳。这里要提到的知识图谱的应用是指GraphRAG。 GraphRAG简介 GraphRAG（Graph-based Retrieval-Augmented]]></description><link>https://ecency.com/@lemooljiang/etmfdpq8j</link><guid isPermaLink="true">https://ecency.com/@lemooljiang/etmfdpq8j</guid><category><![CDATA[hive-105017]]></category><dc:creator><![CDATA[lemooljiang]]></dc:creator><pubDate>Mon, 15 Jun 2026 12:22:39 GMT</pubDate><enclosure url="https://i.ecency.com/p/eAyTuXc4toTW1nA32v4xK89776gwb4SjnYCqKbjzmow45vistKhJNJqhrASnjhee2eUy4up9xnA?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>