<?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>RAGコスト削減 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/rag%E3%82%B3%E3%82%B9%E3%83%88%E5%89%8A%E6%B8%9B/</link><description>Recent content in RAGコスト削減 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>Wed, 03 Jun 2026 13:58:37 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/rag%E3%82%B3%E3%82%B9%E3%83%88%E5%89%8A%E6%B8%9B/index.xml" rel="self" type="application/rss+xml"/><item><title>headroom LLMのトークン消費を最大95%削減する圧縮レイヤー</title><link>https://ai.negi-lab.com/posts/headroom-llm-token-compression-review/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/headroom-llm-token-compression-review/</guid><description>RAGのチャンクや冗長なログ、巨大なソースコードをLLMに投げる前に「意味を保ったまま」圧縮し、トークン料金を60〜95%削減するツール。。単なる要約では...</description></item></channel></rss>