Why RAG is failing your AI agents (and what trust scoring fixes)

📰 Medium · LLM

Learn how trust scoring can fix issues with RAG in AI agents and improve their performance

intermediate Published 16 Apr 2026
Action Steps
  1. Build a trust scoring system to evaluate the reliability of RAG outputs
  2. Run experiments to compare the performance of RAG with and without trust scoring
  3. Configure your AI agent to use trust scoring for decision-making
  4. Test the impact of trust scoring on API credit usage
  5. Apply trust scoring to other areas of your AI agent's decision-making process
Who Needs to Know This

AI engineers and developers can benefit from this knowledge to improve the reliability of their AI agents, while product managers can use it to inform product decisions

Key Insight

💡 Trust scoring can improve the reliability of RAG outputs and reduce wasted resources

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🚨 RAG not working as expected? 🤖 Trust scoring can help! 💡
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