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				<pubDate>Fri, 29 Nov 2024 14:52:29 +0100</pubDate>

				
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				<title>What is LLM RAG? 
Retrieval-Augmented Generation is a framework in generative AI to give large language models the ability to generate more accurate and relevant responses from your business data. 

In this framework, you combine a model with your business-specific datasets or domain-specific knowledge bases. When you ask the generative AI application a question, the system retrieves the latest, relevant data from the connected sources and guides the models to generate accurate responses.  



https://saxon.ai/
blogs/is-llm-rag-the-mark-lxxxv-of-the-gen-ai-verse/


https://saxon.ai/</title>
				<link>https://www.latinapress.it/attivita/p/2093/</link>
				<pubDate>Fri, 29 Nov 2024 14:51:57 +0100</pubDate>

									<content:encoded><![CDATA[<div class="activity-inner"><p>What is LLM RAG?<br />
Retrieval-Augmented Generation is a framework in generative AI to give large language models the ability to generate more accurate and relevant responses from your business data. </p>
<p>In this framework, you combine a model with your business-specific datasets or domain-specific knowledge bases. When you ask the generative AI&hellip;<span class="activity-read-more" id="activity-read-more-2093"><a target="_blank" href="https://www.latinapress.it/attivita/p/2093/" rel="nofollow ugc">Leggi di più</a></span></p>
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				<div class="youzify-wall-link-title">LLM RAG - How it improves the quality of Generative AI</div>				<div class="youzify-wall-link-desc">Hallucinations and high costs are challenges in leveraging LLM in enterprise gen AI solutions. Discover how LLM RAG can help.</div>				<div class="youzify-wall-link-url">saxon.ai</div>			</div>
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