<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chunking on Hitesh Pattanayak</title><link>/tags/chunking/</link><description>Recent content in Chunking on Hitesh Pattanayak</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 29 Mar 2026 21:11:47 -0700</lastBuildDate><atom:link href="/tags/chunking/index.xml" rel="self" type="application/rss+xml"/><item><title>Vector Databases, ANN, and Chunking: Storing Knowledge for Retrieval</title><link>/posts/vector-databases-ann-and-chunking-storing-knowledge-for-retrieval/</link><pubDate>Sun, 29 Mar 2026 21:11:47 -0700</pubDate><guid>/posts/vector-databases-ann-and-chunking-storing-knowledge-for-retrieval/</guid><description>A practical guide for software engineers covering how vector databases use Approximate Nearest Neighbor algorithms to search millions of embeddings efficiently, and how to chunk documents intelligently so your RAG pipeline actually retrieves useful, precise context.</description></item></channel></rss>