<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RAG on Cloudkaramchari</title><link>https://www.cloudkaramchari.com/tags/rag/</link><description>Recent content in RAG on Cloudkaramchari</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>cloudkaramchari</copyright><lastBuildDate>Wed, 12 Aug 2026 20:00:00 +0530</lastBuildDate><atom:link href="https://www.cloudkaramchari.com/tags/rag/index.xml" rel="self" type="application/rss+xml"/><item><title>Web Search on Amazon Bedrock: Grounding OpenAI Models Without Building a RAG Pipeline</title><link>https://www.cloudkaramchari.com/blog/web-search-on-amazon-bedrock-grounding-openai-models-guide/</link><pubDate>Wed, 12 Aug 2026 20:00:00 +0530</pubDate><guid>https://www.cloudkaramchari.com/blog/web-search-on-amazon-bedrock-grounding-openai-models-guide/</guid><description>
&lt;h1 id="web-search-on-amazon-bedrock-grounding-openai-models-without-building-a-rag-pipeline">Web Search on Amazon Bedrock: Grounding OpenAI Models Without Building a RAG Pipeline&lt;/h1>
&lt;p>AWS shipped &lt;strong>Web Search on Amazon Bedrock&lt;/strong> this month — a built-in tool that lets supported OpenAI models pull current information from the web mid-request and cite their sources, without you standing up a retrieval pipeline, a search API integration, or a tool-call loop. It's generally available now in three US regions. If you've been bolting Bing/Serper/Tavily calls onto an agent just to answer &amp;quot;what changed recently,&amp;quot; this replaces that wiring with one parameter.&lt;/p></description></item></channel></rss>