Download whitepaper
A rich PDF with insights, stats and use cases.

RAG AI is a technique where an LLM retrieves information from a variety of different sources to answer queries. RAG was designed to provide more thorough responses than traditional AI,…
Not Ready Yet? Learn More
Support for 140+ data sources












Why RAG AI Alone Isn’t Enough

RAG AI is a technique where an LLM retrieves information from a variety of different sources to answer queries. RAG was designed to provide more thorough responses than traditional AI, but RAG alone often lacks the business context necessary to answer your users’ important questions. Download your white paper to learn:
Why RAG AI alone isn't enough especially in highly regulated industries
What to do when built-in BI assistants hit a ceiling
How a semantic layer can improve AI insights while reducing hallucinations and providing governed answers