<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Harshwardhan Singh</title><description>Harshwardhan Singh — web engineer writing about web performance, frontend architecture, AI, and security.</description><link>https://harshwardhan.works/</link><item><title>How a question finds its answer</title><link>https://harshwardhan.works/blog/building-a-cited-rag-how-a-question-finds-its-answer/</link><guid isPermaLink="true">https://harshwardhan.works/blog/building-a-cited-rag-how-a-question-finds-its-answer/</guid><description>The read side of the pipeline: turn a question into a vector, find the nearest chunks with one SQL query, optionally rerank them, wrap them in a prompt that forces the model to stay honest, and stream back an answer that cites its sources.</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate></item><item><title>How a document becomes searchable</title><link>https://harshwardhan.works/blog/building-a-cited-rag-how-a-document-becomes-searchable/</link><guid isPermaLink="true">https://harshwardhan.works/blog/building-a-cited-rag-how-a-document-becomes-searchable/</guid><description>How a markdown scheme document becomes searchable rows in pgvector: paragraph-aware chunking that preserves citations, a provider-agnostic embedding layer, and the fixed vector column dimension that will bite you if you ignore it.</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate></item><item><title>What is a vector database?</title><link>https://harshwardhan.works/blog/building-a-cited-rag-vector-databases/</link><guid isPermaLink="true">https://harshwardhan.works/blog/building-a-cited-rag-vector-databases/</guid><description>The one idea the whole series rests on, from scratch: how text turns into coordinates, why the nearest point is the most similar in meaning, and what the index is really doing. No prior vector knowledge assumed.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate></item><item><title>What we&apos;re building, and why</title><link>https://harshwardhan.works/blog/building-a-cited-rag-1-introduction/</link><guid isPermaLink="true">https://harshwardhan.works/blog/building-a-cited-rag-1-introduction/</guid><description>A build-along series on a retrieval-augmented Q&amp;A system over Indian government schemes: what we&apos;re building, why grounding and citations matter more than the model, and the pipeline the rest of the series puts together piece by piece.</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate></item></channel></rss>