Graphologue: Bridging RDBMS and Graph Databases with Natural Language Interfaces

We propose a novel graph database system that overcomes existing limitations by integrating relational databases, unifying RDF and property graph data models, and incorporating large language models and natural language processing. Graphologue, our system, leveraging openGauss, enhances scalability and performance compared to traditional graph databases. The integration of RDF and property graph models enables flexible data modeling, combining expressiveness and flexibility. We introduce large language models to simplify query generation using natural language, reducing complexity. Additionally, we employ natural language processing to generate graphs from unstructured data, enhancing inclusiveness. Our research aims to advance graph database technology, offering a unified and user-friendly solution for efficient data analysis and querying in interconnected environments.