<?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>Late Chunking on Bharat Singh</title><link>https://bsbhadwal.com/tags/late-chunking/</link><description>Recent content in Late Chunking on Bharat Singh</description><image><title>Bharat Singh</title><url>https://bsbhadwal.com/images/bharat-singh-ai-systems-architect.jpg</url><link>https://bsbhadwal.com/images/bharat-singh-ai-systems-architect.jpg</link></image><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 09 Feb 2026 00:00:00 +0530</lastBuildDate><atom:link href="https://bsbhadwal.com/tags/late-chunking/index.xml" rel="self" type="application/rss+xml"/><item><title>The Paradigm Shift to Late Chunking in Retrieval-Augmented Generation: A Technical and Comparative Analysis</title><link>https://bsbhadwal.com/posts/late-chunking-in-retrieval-augmented-generation/</link><pubDate>Mon, 09 Feb 2026 00:00:00 +0530</pubDate><guid>https://bsbhadwal.com/posts/late-chunking-in-retrieval-augmented-generation/</guid><description>Technical breakdown of Late Chunking in RAG architectures. Contrasting Jina AI token mean pooling and Voyage AI contextualized embeddings against naive chunking.</description></item></channel></rss>