Published Paper Details:

This paper discusses how the Retrieval-Augmented Generation (RAG) can be utilized in improving the process of eliciting, tracing and validating requirements of enterprise knowledge bases. It provides a holistic way of combining RAG with the conventional requirements engineering techniques in order to solve the problem of data inconsistency, unfinished requirements and ineffective tracing. The research procedure is a qualitative case study research of the organizations which have implemented RAG and comparing its effectiveness in enhancing requirements management. The most important findings include the capabilities of RAG to enhance the accuracy of requirements retrieval and enhance their efficiency, the better traceability, and the minimization of the errors in system validation. This research also has contributions of a better understanding of RAG in the modernization of requirements engineering, which can be applied in organizations aiming at streamlining their requirements. The current study also implies the further areas of developing the RAG methods that will be more flexible to meet the changing demands of the enterprise.