Knowledge Graph Indexing Enhanced Q&A System Based on Large Language Model
Jiawei Sun, Quan Zhang, Yongqi Zhi, Weiqing Ling · 2024
With the advent of the digital age, the explosive growth of data has brought unprecedented opportunities and challenges to societal development. The rapid evolution of data science is driving innovation and progress across various industries. Both the business and academic communities recognize the immense potential hidden within vast amounts of data. Extracting truly valuable information from this data has become a critical issue that needs to be addressed. As technology advances swiftly and data accumulates rapidly, traditional processing and analysis methods can no longer keep up with the current volume and velocity of data. This has prompted data professionals to seek innovative solutions to handle increasingly complex and massive data relationships and quantities. Against this backdrop, two key technologies have emerged due to their exceptional performance-knowledge graphs and large language models