Knowledge Graphs: Contextualizing Enterprise Data for More Accurate LLMs

Juan Sequeda and Dean Allemang on boosting LLMs with Knowledge Graphs for Enterprise Q&A.


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Juan Sequeda (Principal Scientist & Head of AI Lab) and Dean Allemang (Principal Solutions Architect) are knowledge graph experts at data.world, a startup that offers a data catalog powered by a knowledge graph to help organizations better understand and gain value from their data. In this episode we discuss their recent paper, “A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model’s Accuracy for Question Answering on Enterprise SQL Databases”.

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The primary motivation of using KGs is to provide a business context layer to LLMs, addressing the gaps in understanding and contextualizing enterprise data. This enhancement aims to reduce inaccuracies and hallucinations, thereby increasing the trustworthiness and effectiveness of LLMs in enterprise settings.

 

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