<?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>EmbeddingGemma2 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/embeddinggemma2/</link><description>Recent content in EmbeddingGemma2 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>Mon, 12 Oct 2026 02:34:20 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/embeddinggemma2/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLMでファイル検索！EmbeddingGemma 2搭載Macアプリと推奨スペック比較</title><link>https://ai.negi-lab.com/posts/local-llm-mac-embedding-gemma-2-guide/</link><pubDate>Mon, 12 Oct 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/local-llm-mac-embedding-gemma-2-guide/</guid><description>結論：プライバシー重視のローカルRAG（文書検索）には、メモリ32GB以上のApple Silicon Macが最適解。。判断軸：EmbeddingGem...</description></item></channel></rss>