Knowledge Graphs and LLMs in Action

Knowledge graphs represent a real paradigm shift in the way that machines can understand data by effectively modeling the contextual information that’s vital for human knowledge. They’re poised to help revolutionize data analysis and machine learning, with applications ranging from search engines to e-commerce and more.

• Many resources cover KGs or LLMs separately, but few combine both with this much clarity and practical detail. For technical professionals looking to implement hybrid systems, this book bridges the gap.
  Sophia Shvets, Data Scientis, NinjaTech

• This book is excellent for anyone who really wants to know how and why LLMS work with Knowledge Graphs. It goes deep into the underlying technologies in play, in NLP and ML too, providing a good bedrock for understanding.
  Charles Ivie, Sr. Architect, Amazon Web Services

Dr. Alessandro Negro is the Chief Scientist at GraphAware. He is one of the creators of GraphAware Hume, a mission critical knowledge graph platform.

Dr. Vlastimil Kus is the Lead Data Scientist at GraphAware where he contributes to the development of Hume. Over the years he gained significant experience in building and utilizing Knowledge Graphs from unstructured data using NLP and ML techniques in various domains. His current focus is NLP and Graph Machine Learning.

Dr. Giuseppe Futia is Senior Data Scientist at GraphAware. He studied Graph Representation Learning techniques to support the automatic building of Knowledge Graphs.

Fabio Montagna is the Lead Machine Learning Engineer at GraphAware. As a bridge between science and industry, he assists with moving rapidly from scientific reasoning to product value.