<?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>LLM on Sabit Shaikholla</title><link>https://sabit-shaikholla.github.io/categories/llm/</link><description>Recent content in LLM on Sabit Shaikholla</description><image><title>Sabit Shaikholla</title><url>https://sabit-shaikholla.github.io/images/profile.jpg</url><link>https://sabit-shaikholla.github.io/images/profile.jpg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 24 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sabit-shaikholla.github.io/categories/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Agentic File Query: An AI Agent That Reads Documents Like a Researcher</title><link>https://sabit-shaikholla.github.io/projects/agentic-file-query/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://sabit-shaikholla.github.io/projects/agentic-file-query/</guid><description>How I built an agentic document search system that replaces the traditional retrieve-and-generate pipeline with an AI agent that scans, reasons, follows cross-references, and backtracks — just like a human researcher would.</description></item><item><title>Gemini File Search Tool: RAG as a Managed Service</title><link>https://sabit-shaikholla.github.io/projects/gemini-api-file-search-tool/</link><pubDate>Wed, 19 Nov 2025 00:00:00 +0000</pubDate><guid>https://sabit-shaikholla.github.io/projects/gemini-api-file-search-tool/</guid><description>How the Gemini API File Search Tool works as a fully managed, scalable and cost-effective RAG service for developers.</description></item><item><title>Corrective RAG Agent: Self-Checking Answers with OpenEvals</title><link>https://sabit-shaikholla.github.io/projects/corrective-rag-openevals/</link><pubDate>Tue, 20 May 2025 00:00:00 +0000</pubDate><guid>https://sabit-shaikholla.github.io/projects/corrective-rag-openevals/</guid><description>A deep dive into building more reliable LLM agents by combining Corrective Retrieval-Augmented Generation (CRAG) with OpenEvals. Learn how self-checking retrieval, automated evaluation, and iterative refinement can dramatically reduce hallucinations and improve answer accuracy in AI-powered assistants.</description></item><item><title>AI Document Analysis Engine: Type-Safe RAG with Pydantic and Gemini</title><link>https://sabit-shaikholla.github.io/projects/ai-document-engine-rag/</link><pubDate>Sun, 02 Mar 2025 00:00:00 +0000</pubDate><guid>https://sabit-shaikholla.github.io/projects/ai-document-engine-rag/</guid><description>A type-safe AI document analysis engine built with RAG</description></item><item><title>AI News Research Agent: Pydantic-AI, Gemini and Tavily</title><link>https://sabit-shaikholla.github.io/projects/ai-news-agent/</link><pubDate>Wed, 19 Feb 2025 00:00:00 +0000</pubDate><guid>https://sabit-shaikholla.github.io/projects/ai-news-agent/</guid><description>A type-safe AI news research agent built with Pydantic-AI, Gemini 2.0 Flash, and Tavily Search</description></item></channel></rss>