Building a RAG System That Knows When It’s Wrong

📰 Medium · LLM

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 using a public eval set
  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 inputs
  4. Test the system using the public eval set to evaluate its performance
  5. Apply the lessons learned to improve the overall accuracy and transparency of the RAG system
Who Needs to Know This

NLP engineers and researchers can benefit from this article to improve their RAG systems, while product managers can use this to inform their product development and evaluation strategies

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

Share This
💡 Improve your RAG system with a citation gate, secondary judge, and 'I don't know' path! #RAG #LLM #NLP

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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