Use the Shelf platform to immediately
improve your RAG answer quality
See the cause of bad answers caused by bad data in real time.
According to a 2024 Gartner IT survey, the top 3 blockers to RAG success are unstructured data issues
What is holding you back from scaling your RAG initiatives?
The following RAG approaches fail to address underlining unstructured data quality issues
solutions
“No matter what data science teams tried thus far, they haven’t been able to reliably improve the answer quality of our GenAI POCs. Shelf’s platform is the piece we’ve been missing!”
– Head of Automation at Leading Manufacturing Company
Overview of Shelf’s RAG solution
Identify the exact part of GenAI conversations that are based on bad data.
Leverage our 22 content diagnostics to prioritize what issues to fix and why.
Take action to immediately resolve answer quality issues to stop hallucinations in their tracks.
Automatically enrich content with useful metadata both the entire document and for specific semantically relevant sections.
Human in the loop technology that enables enrichment with named entities and defining new relations between content sections.
Get alerts on content accuracy and compliance risks as they emerge in real time.
Get started in 3 easy steps
conversations & files
filter bad data
answers
What’s inside
3 immediately actionable RAG strategies for improving answer quality so you can deploy RAG with more answer transparency, confidence and impact.
Created by experts in unstructured data who have 40 years of experience and have processed over 100M pieces of content for some of the world’s best brands, including; Amazon, Lufthansa and the Mayo Clinic.
See the Shelf Platform in action
