The application of artificial intelligence (AI) in enterprises is becoming increasingly widespread, but the inherent risk of 'hallucination'—generating information that is not true or unsupported—has always been a key challenge hindering large-scale deployment. Although various techniques and methods aimed at reducing hallucinations have emerged in the industry, such as retrieval-augmented generation (RAG), improving data quality, guardrails, and reasoning verification, the results are often limited. Recently, a company called Vectara has launched a new solution: the 'Vectara Hallucination Corrector,' designed to correct errors through a guardian agent.