The Power of Knowledge Graphs: Cutting Through the Hype

In this series, we’ll go over how the platform engineering team at Kobai is able to handle cutting edge DevOps implementations like ephemeral environments, manage to wrangle our cloud spending to just a few thousand dollars a month for over 20 environments, and create automated regression testing suites — all while maintaining a lean team.

Earlier this year, Microsoft announced their GraphRAG project, and ignited a storm of interest in how Knowledge Graphs can improve results from Generative AI. In this series, we will take a high level look at the characteristics of several graph-enabled RAG approaches (including Microsoft-style GraphRAG) and compare them to other approaches on a simple use case.

Based on graph technology (Kobai Saturn based on lakehouses), a tool to help find the answer to “so what” in your data. Crunching the data to find an answer is great, but also being able to quickly find root cause analysis or ways to address the issue quickly and confidently, that’s where Kobai really shines.