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Stop building RAG systems that impress in demos but disappoint in production
Transform your retrieval from “good enough” to “mission-critical” in weeks, not months
Most RAG implementations get stuck in prototype purgatory. They work well for simple cases but fail on complex queries—leading to frustrated users, lost trust, and wasted engineering time. The difference between a prototype and a production-ready system isn’t just better technology, it’s a fundamentally different mindset.
The RAG Implementation Reality
What you’re experiencing right now:
Your RAG demo impressed stakeholders, but real users encounter hallucinations when they need accuracy most
Engineers spend countless hours tweaking prompts with minimal improvement
Colleagues report finding information manually that your system failed to retrieve
You keep making changes but have no way to measure if they’re actually helping
Every improvement feels like guesswork instead of systematic progress
You’re unsure which 10% of possible enhancements will deliver 90% of the value
What your RAG system could be:
With the RAG Flywheel methodology, you’ll build a system that:
Retrieves the right information even for complex, ambiguous queries