<?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>VectifyAI on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/vectifyai/</link><description>Recent content in VectifyAI on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Fri, 08 May 2026 12:41:36 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/vectifyai/index.xml" rel="self" type="application/rss+xml"/><item><title>PageIndex 使い方 レビュー：ベクトル検索を使わない推論型RAGの実力と実装</title><link>https://ai.negi-lab.com/posts/pageindex-vectorless-reasoning-based-rag-review/</link><pubDate>Fri, 08 May 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/pageindex-vectorless-reasoning-based-rag-review/</guid><description>従来のRAGが抱えていた「チャンク分割の失敗による文脈喪失」を、ページ単位の構造化とLLMの推論で解決する。。ベクトルデータベースやEmbeddingモデ...</description></item></channel></rss>