| Proj No. | A3026-251 |
| Title | Intelligent Q&A System Using KG and LLM |
| Summary | This project aims to develop an advanced question-and-answer system by leveraging the latest Llama tools to build a vector database/ knowledge graph. By combining structured data retrieval with the generative capabilities of a large language model (LLM), the system will provide accurate, context-rich responses to user inquiries. The architecture will support dynamic updates and continuous learning, making it suitable for applications in customer support, research assistance, and personalized education. The goal is to enhance user interactions through efficient information retrieval and nuanced understanding of complex queries. . |
| Supervisor | A/P Chen Lihui (Loc:S1 > S1 B1C > S1 B1C 96, Ext: +65 67904484) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | IEM Workshop (former Software Engineering) (Loc: S2.2-B4-04) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |