| Proj No. | A3029-251 |
| Title | Study of Graph Retrieval-Augmented Generation for Customized Large Language Models |
| Summary | Retrieval-augmented generation (RAG) has emerged as a promising solution to customize LLMs for professional fields by seamlessly integrating external knowledge bases, enabling real-time access to domain-specific expertise during inference. GraphRAG a new paradigm that revolutionizes domain-specific LLM applications. GraphRAG addresses traditional RAG limitations through some innovations. In this project, we are conducting a thorough analysis of the technical foundations of GraphRAG and explore its current implementations within a specific professional domain, highlighting key technical challenges and potential research opportunities. |
| 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?: |