<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Pgvector on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/pgvector/</link><description>Recent content in Pgvector on AI 实战派 · 从技术到赚钱</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Wed, 07 Oct 2026 11:06:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/pgvector/index.xml" rel="self" type="application/rss+xml"/><item><title>向量库别一上来就 Milvus：Chroma、Qdrant、pgvector、Milvus 怎么选</title><link>https://guijiagi.com/posts/2026-10-07-vector-database-selection-guide/</link><pubDate>Wed, 07 Oct 2026 11:06:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-07-vector-database-selection-guide/</guid><description>百万级以内用 pgvector 或 Chroma 就够，Qdrant 适合生产混合检索，Milvus 留给亿级规模。选错库，运维成本比省下的查询时间还贵。</description></item></channel></rss>