<?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>向量化 on Kada's Notes</title><link>https://kadaliao.github.io/tags/%E5%90%91%E9%87%8F%E5%8C%96/</link><description>Recent content in 向量化 on Kada's Notes</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 12 Jun 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://kadaliao.github.io/tags/%E5%90%91%E9%87%8F%E5%8C%96/index.xml" rel="self" type="application/rss+xml"/><item><title>Embedding 模型选型：OpenAI vs BGE vs 其他开源方案</title><link>https://kadaliao.github.io/posts/embedding-model-comparison/</link><pubDate>Mon, 12 Jun 2023 00:00:00 +0000</pubDate><guid>https://kadaliao.github.io/posts/embedding-model-comparison/</guid><description>RAG 系统里 Embedding 模型的选择直接影响检索质量。这篇文章对比几个主流方案的效果、成本和部署方式。</description></item></channel></rss>