How to Build a Knowledge Graph in the Age of LLMs
Last Updated on August 28, 2025 by Editorial Team
Author(s): Michael Shapiro MD MSc
Originally published on Towards AI.
How to Build a Knowledge Graph in the Age of LLMs
In recent years, LLMs have transformed the way we do almost everything. Knowledge graphs(KGs) have been there since the digital revolution as a way store complex and interconnected information. However, as the amount and complexity of the data grew, the KG value in organizing and representing the connecting web of ideas became apparent. And as Steve Jobs said: “Creativity is just connecting things.”
The article discusses the development of knowledge graphs (KG) in the context of Large Language Models (LLMs), highlighting the challenges and solutions associated with data extraction, ontology alignment, validation, and enrichment. It emphasizes the significant potential of LLMs to automate and improve the processes involved in building high-quality, domain-specific KGs, while also acknowledging the importance of human oversight to mitigate errors and ensure data reliability.
Read the full blog for free on Medium.
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