Measuring the effectiveness of RAG (Retrieval-Augmented Generation) chatbots in customer support is essential for optimizing performance and ensuring a positive user experience. Key performance indicators (KPIs) such as response time, resolution rate, and customer satisfaction scores provide valuable insights into how well the chatbot is functioning. Monitoring response times helps identify efficiency improvements, while analyzing resolution rates reveals the chatbot's ability to address customer inquiries effectively. Additionally, collecting feedback through customer surveys can assess satisfaction levels, highlighting areas for enhancement. Furthermore, tracking interaction metrics, such as the number of escalations to human agents, can indicate the chatbot’s performance and pinpoint complex issues that may require further refinement.Visit Our Website:https://www.planethive.ai/serv....ices/secure-chatbots