<?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 Aneesh Sathe</title><link>https://aneeshsathe.com/tags/rag/</link><description>Recent content in Rag on Aneesh Sathe</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 03 May 2024 21:15:05 +0000</lastBuildDate><atom:link href="https://aneeshsathe.com/tags/rag/index.xml" rel="self" type="application/rss+xml"/><item><title>Reimagining AI in Healthcare: Beyond Basic RAG with FHIR, Knowledge Graphs, and AI Agents</title><link>https://aneeshsathe.com/reimagining-ai-in-healthcare-beyond-basic-rag-with-fhir-knowledge-graphs-and-ai-agents/</link><pubDate>Fri, 03 May 2024 21:15:05 +0000</pubDate><guid>https://aneeshsathe.com/reimagining-ai-in-healthcare-beyond-basic-rag-with-fhir-knowledge-graphs-and-ai-agents/</guid><description>&lt;h4 id="introduction"&gt;
Introduction
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&lt;p&gt;While exploring the application of AI agents in healthcare we see that standard Retrieval-Augmented Generation (RAG) and fine-tuning methods often fall short in the interconnected realms of healthcare and research. These traditional methods struggle to leverage the structured knowledge available, such as knowledge graphs. Data approaches like Fast Healthcare Interoperability Resources (FHIR) used alongside advanced knowledge graphs can significantly enhance AI agents, providing more effective and context-aware solutions.&lt;/p&gt;</description></item></channel></rss>