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

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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.

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.

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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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