This presentation delves into the seamless integration of Knowledge Graphs (KGs) and Large Language Models (LLMs) to unlock their collective potential in revolutionizing natural language understanding. By synergizing the structured knowledge of KGs and the text comprehension capabilities of language models, we unlock a powerful combination that bridges the gap between domain-specific, potentially sensitive data, and the vast general knowledge embedded within LLMs. Furthermore, we explore how language models can enrich KGs through efficient knowledge extraction and refinement techniques. This integration opens up a realm of opportunities across diverse domains, from dynamic question-answering systems to context-aware and intelligent chatbots, paving the way for truly transformative applications. Don't miss this insightful exploration into the world of unified minds!

Jorg Schad

Jörg Schad, CTO at ArangoDB

Jörg Schad, PhD, is the CTO. In a previous life, he worked on Machine Learning Infrastructure in health care, distributed systems at Mesosphere, implemented distributed and in-memory databases, and conducted research in the Hadoop and Cloud area. He’s a frequent speaker at meetups, international conferences, and lecture halls. Jörg is fluent in three different languages and is passionate about science & technology, education, and the environment.

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