What could be the issue if an Agentforce retriever is returning incorrect Knowledge Articles?

If an Agentforce retriever is returning incorrect Knowledge Articles, a likely issue is that the retriever is pointing to an outdated data set. This situation can arise when the underlying knowledge base has not been updated to reflect recent changes, new articles, or corrections made to existing information. When the retriever queries this outdated data, it may produce irrelevant or inaccurate articles that do not provide the most current and valid responses to user inquiries.

In a dynamic environment where knowledge articles are continually being created or modified, ensuring that the retriever is aligned with the most up-to-date data set is crucial for providing accurate support and knowledge solutions. Regular updates and maintenance of the knowledge base are essential practices to avoid discrepancies and to enhance the efficiency of the retriever in delivering relevant content.

While other options present interesting considerations, they do not directly address the specific issue of returning incorrect articles. For instance, retraining the AI model may enhance its efficiency or accuracy but does not resolve intrinsic data validity issues. Furthermore, the assertion that AI-generated responses should not utilize Knowledge Articles contradicts the purpose of integrating such articles into the AI service. Lastly, the claim that Einstein Service AI does not support Knowledge retrieval is inaccurate, as it is designed to access and utilize such knowledge effectively when