<?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>Cosine Similarity on Siva Madhavan</title><link>http://blog.sivamadhavan.com/tags/cosine-similarity/</link><description>Recent content in Cosine Similarity on Siva Madhavan</description><generator>Hugo</generator><language>en-us</language><copyright>2026 Siva Madhavan</copyright><lastBuildDate>Sat, 12 Sep 2026 20:45:00 +0530</lastBuildDate><atom:link href="http://blog.sivamadhavan.com/tags/cosine-similarity/index.xml" rel="self" type="application/rss+xml"/><item><title>The Essence of Vector Embeddings: High-Dimensional Cosine Similarity Explained</title><link>http://blog.sivamadhavan.com/vector-embeddings-cosine-similarity-math/</link><pubDate>Sat, 12 Sep 2026 20:45:00 +0530</pubDate><guid>http://blog.sivamadhavan.com/vector-embeddings-cosine-similarity-math/</guid><description>An intuitive mathematical exploration of high-dimensional vector spaces, dot products, and why cosine similarity powers modern semantic search and RAG.</description></item></channel></rss>