This project builds a knowledge-graph-based QA system using BERT as its core NLP engine. It performs two main tasks: BERT-based named entity recognition to identify entities in user queries, and BERT-based sentence similarity computation to match questions against stored patterns. The system operates in both online and offline prediction modes, with the final KBQA module integrating both components to retrieve answers from a knowledge base.