Why It Matters
Finally, it explores the synergy between graphs and large language models, showing how LLMs can help build knowledge graphs while graphs can enrich LLM reasoning.
Summary
The post interviews Microsoft Gray Systems Lab principal scientist Yuanyuan Tian about how graph databases uniquely model relationships, enabling complex applications such as fraud detection, security, healthcare, and supply‑chain optimization. It highlights the practical challenges of moving from SQL to graph, the fragmented landscape of graph query languages, and the emerging GQL standard as a unifying solution. Finally, it explores the synergy between graphs and large language models, showing how LLMs can help build knowledge graphs while graphs can enrich LLM reasoning.
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