Design and Implementation of Counseling Chatbot using Knowledge Graph-Based RAG

The physical constraints of offline counseling and the burden of face-to-face counseling have resulted in a demand for online counseling platforms. Therefore, we propose a psychologi-cal counseling chatbot system based on the Retrieval-augmented Generation (RAG) framework using a knowledge graph to provide real-time and non-face-to-face specialized psychological counseling. The proposed system can support systematic data management and retrieve information based on the user's con-versation records and domain knowledge to generate customized answers based on accurate expertise.