### Answer To reduce hallucinations in your Retell AI voice agents, here are the key strategies: Data Strategies - Keep datasets current and comprehensive with regular updates [(1) ]() - Use specialized data tailored to your specific industry Model Optimization - Implement real-time validation mechanisms that cross-reference AI outputs against verified sources - Use ensemble models (multiple AI models) to cross-check responses Use Conversation Flow - Retell AI's Conversation Flow feature provides a constrained, node-based structure that helps mitigate hallucinations by controlling how interactions progress based on specific transition conditions Knowledge Base with Prompt Constraints - Add this prompt to your agent to restrict responses to knowledge base content only: [(2) ]()

Only answer using the information in ## Related Knowledge Base Contexts.
If ## Related Knowledge Base Contexts is missing or does not contain relevant information, respond:
"There is no related information in knowledge base."

Human-in-the-Loop - Enable human intervention for complex or sensitive scenarios [(1) ]() - Regularly review AI outputs to identify patterns and refine accuracy

​ To learn more, see the sources I considered: [[1] Guide to AI Hallucinations & How to Fix Them | Retell AI](https://www.retellai.com/blog/the-ultimate-guide-to-ai-hallucinations-in-voice-agents-and-how-to-mitigate-them) [[2] Knowledge Base](https://docs.retellai.com/build/knowledge-base) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.