<?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>检索优化 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E6%A3%80%E7%B4%A2%E4%BC%98%E5%8C%96/</link><description>Recent content in 检索优化 on 硅基 AGI · 智能体学习与测评</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>Tue, 30 Jun 2026 09:40:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%A3%80%E7%B4%A2%E4%BC%98%E5%8C%96/index.xml" rel="self" type="application/rss+xml"/><item><title>RAG分块策略深度对比：语义分块 vs 文档感知 vs 层级分块</title><link>https://guijiagi.com/posts/rag-chunking-strategies-comparison/</link><pubDate>Tue, 30 Jun 2026 09:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-chunking-strategies-comparison/</guid><description>分块是RAG系统中影响检索质量最关键的环节，本文深度对比六种分块策略的原理、效果与适用场景</description></item><item><title>Reranker模型选型：Cohere vs BGE vs Jina对比</title><link>https://guijiagi.com/posts/reranker-model-comparison/</link><pubDate>Tue, 30 Jun 2026 09:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/reranker-model-comparison/</guid><description>Reranker是RAG系统中提升检索精度的关键组件，本文深度对比三大主流Reranker方案</description></item><item><title>RAG重排序Rerank策略</title><link>https://guijiagi.com/posts/rag-rerank-strategy/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-rerank-strategy/</guid><description>RAG系统中重排序策略的原理、模型选择与工程实践，提升检索精度的关键环节</description></item></channel></rss>