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
Action Steps
- Build a RAG system with a microsecond-fast citation gate to verify information
- Implement a cheap secondary judge to validate the system's responses
- Configure a real 'I don't know' path to handle uncertain or unknown queries
- Test the system using a public evaluation set to measure its performance
- 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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