This 3-hour event is a deep dive into the combined power of Generative AI, particularly Language Model Models (LLMs), with knowledge graphs. During the sessions, we’ll explore the profound implications of integrating knowledge graphs into LLM-powered applications to improve response accuracy, explainability, relevance, and context.

This Connections event will help you:

  • Navigate the complexities of AI for enterprises, shedding light on the pivotal role of knowledge graphs in LLM deployments
  • Investigate how this integration refines search precision and optimizes knowledge retrieval, opening up new dimensions for generative AI applications
  • Explore practical approaches to amplifying LLM capabilities through seamless integration with knowledge graphs

Don't miss this opportunity to explore the future of AI and the transformative potential lying at the intersection of Generative AI and knowledge graphs.




Benoît Simard
Field Engineer, Neo4j

Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.

Ayant réalisé ses études à l'institut des mathématiques appliquées à Angers, son domaine d'expertise s'est tourné vers le domaine du web et des graphes. Evangéliste Neo4j depuis 3 ans, Benoît travaille actuellement chez Neo4j France comme expert et consultant technique. Il aime par ailleurs partager ses connaissances sur les graphes avec la communauté et lors de sessions de formation dédiées.
Kelsey Bieri
Data Governance Analyst, ICC

Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.

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