<?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>Embedding on SiBlog</title><link>https://sinimite.work/en/tags/embedding/</link><description>Recent content in Embedding on SiBlog</description><image><title>SiBlog</title><url>https://sinimite.work/images/og-default.svg?v=20260525-210321</url><link>https://sinimite.work/images/og-default.svg?v=20260525-210321</link></image><generator>Hugo -- 0.156.0</generator><language>en-US</language><lastBuildDate>Fri, 17 Jul 2026 15:40:44 +0900</lastBuildDate><atom:link href="https://sinimite.work/en/tags/embedding/rss.xml" rel="self" type="application/rss+xml"/><item><title>RAG Retrieval Engineering: From Hybrid Retrieval to Production Governance</title><link>https://sinimite.work/en/posts/rag-retrieval-engineering-guide/</link><pubDate>Fri, 17 Jul 2026 15:40:44 +0900</pubDate><guid>https://sinimite.work/en/posts/rag-retrieval-engineering-guide/</guid><description>A technical report on designing and implementing the RAG retrieval layer, covering BM25, embeddings, ANN, RRF, reranking, query understanding, access control, evaluation, and deployment practices.</description></item><item><title>Best Practices for Chunking in RAG Systems</title><link>https://sinimite.work/en/posts/rag-chunking-strategies-evaluation/</link><pubDate>Wed, 15 Jul 2026 18:05:16 +0900</pubDate><guid>https://sinimite.work/en/posts/rag-chunking-strategies-evaluation/</guid><description>A technical reference covering RAG chunking strategies, parameter selection, context preservation, and evaluation workflows.</description></item><item><title>Dense + Sparse Hybrid Search in RAG</title><link>https://sinimite.work/en/posts/rag-dense-sparse-hybrid-search/</link><pubDate>Wed, 15 Jul 2026 17:25:30 +0900</pubDate><guid>https://sinimite.work/en/posts/rag-dense-sparse-hybrid-search/</guid><description>A technical reference on Dense + Sparse Hybrid Search, including its principles, fusion methods, suitable use cases, and evaluation approach.</description></item><item><title>A Guide to Building Enterprise RAG Systems</title><link>https://sinimite.work/en/posts/enterprise-rag-system-building-guide/</link><pubDate>Wed, 15 Jul 2026 16:35:23 +0900</pubDate><guid>https://sinimite.work/en/posts/enterprise-rag-system-building-guide/</guid><description>An introduction to the architecture of enterprise RAG data ingestion, hybrid retrieval, access control, generation, evaluation, and observability.</description></item><item><title>The Complete RAG Systems Guide: From Zero to Production</title><link>https://sinimite.work/en/posts/rag-system-complete-guide/</link><pubDate>Fri, 27 Mar 2026 15:06:20 +0900</pubDate><guid>https://sinimite.work/en/posts/rag-system-complete-guide/</guid><description>A panoramic RAG guide covering ingestion, chunking, retrieval, reranking, generation, evaluation, and production operations, with an implementation path from zero to launch.</description></item><item><title>Notes on Anthropic's Contextual Retrieval</title><link>https://sinimite.work/en/posts/anthropic-contextual-retrieval-reading-notes/</link><pubDate>Wed, 11 Mar 2026 09:00:00 +0900</pubDate><guid>https://sinimite.work/en/posts/anthropic-contextual-retrieval-reading-notes/</guid><description>Reading notes on Anthropic&amp;#39;s Contextual Retrieval, covering semantic loss after chunking, experimental benchmarks, ground-truth evaluation, and production RAG practices.</description></item></channel></rss>