🌐 Dive into the Future of Graph Databases with NebulaGraph and LLMs 🚀 Hello NebulaGraph community! I've found compelling research paper that beautifully bridges the gap between graph databases and the prowess of Large Language Models (LLMs). 🔗 A Survey of Graph Meets Large Language Model: Progress and Future Directions Here's why you should bookmark this paper: • Pioneering Integration: Discover how NebulaGraph is leading the integration of LLMs, offering fresh insights into graph-related tasks and queries. • In-Depth Analysis: The paper provides a comprehensive review of current methods, proposing a new taxonomy that categorizes the role of LLMs as enhancers, predictors, and alignment components in graph tasks. • Future Outlook: Gain insights into the potential future directions of research at the intersection of graph databases and LLMs, complete with a discussion on the limitations and promising avenues for advancement. Join us every Friday as we delve into graph database-related articles and progress together with NebulaGraph.🌠