5-Point RAG Strategy Guide to Prevent Hallucinations & Bad Answers!

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[ Key Takeaways ]

This guide designed to help teams working on GenAI Initiatives gives you five actionable strategies for RAG pipelines that will improve answer quality and prevent hallucinations.

[ Overview ]

About the Guide

This guide written by Sedarius Tekara Perrotta and the data science team at Shelf is based on 10 years of experience processing over a 100 million sections of unstructured data for some of the world’s best brands, including; Amazon, Lufthansa and Nestle.

“According to a poll of IT leaders by Gartner, poor data quality is the #1 obstacle companies have in GenAI initiatives. ”

Poor Data Quality Matters

Poor data quality and AI is nothing new. What has changed is the issue is now unstructured data quality. In fact, 32% of enterprise unstructured data is inaccurate and is being fed right into LLMs.

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[ Quotes ]

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