Building a RAG System That Knows When It’s Wrong

📰 Medium · Machine Learning

Learn to build a RAG system with a citation gate, secondary judge, and 'I don't know' path for improved accuracy and transparency

advanced Published 26 Apr 2026
Action Steps
  1. Build a RAG system with a microsecond-fast citation gate to verify information
  2. Implement a cheap secondary judge to validate the system's responses
  3. Configure a real 'I don't know' path to handle uncertain or unknown queries
  4. Test the system using a public evaluation set to measure its performance
  5. Apply the lessons learned to improve the overall accuracy and transparency of the RAG system
Who Needs to Know This

ML engineers and researchers can benefit from this article to improve their RAG systems, while product managers can understand the potential applications and limitations of such systems

Key Insight

💡 Adding a citation gate, secondary judge, and 'I don't know' path can significantly improve the accuracy and transparency of a RAG system

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🚀 Improve your RAG system with a citation gate, secondary judge, and 'I don't know' path! 🤖

Key Takeaways

Learn to build a RAG system with a citation gate, secondary judge, and 'I don't know' path for improved accuracy and transparency

Full Article

How I added a microsecond-fast citation gate, a cheap secondary judge, and a real “I don’t know” path — with a public eval set so you can… Continue reading on Medium »
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