<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CocoIndex on Text Matrix</title><link>https://txtmix.com/tags/cocoindex/</link><description>Recent content in CocoIndex on Text Matrix</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 23 May 2026 08:55:34 +0800</lastBuildDate><atom:link href="https://txtmix.com/tags/cocoindex/index.xml" rel="self" type="application/rss+xml"/><item><title>CocoIndex：为 AI Agent 打造的增量索引引擎</title><link>https://txtmix.com/posts/tech/cocoindex-incremental-indexing-engine-for-ai-agents-guide/</link><pubDate>Tue, 05 May 2026 20:18:30 +0800</pubDate><guid>https://txtmix.com/posts/tech/cocoindex-incremental-indexing-engine-for-ai-agents-guide/</guid><description>&lt;h1 id="cocoindex为-ai-agent-打造的增量索引引擎">CocoIndex：为 AI Agent 打造的增量索引引擎&lt;/h1>
&lt;p>大多数 RAG 系统的问题是：数据会过时。每次代码变更、文档更新或者 Slack 新消息涌入，全量重新索引成本高、延迟大，结果是 AI Agent 的上下文很快就变旧了。&lt;/p></description></item></channel></rss>