Videos

A synergistic relationship exists between knowledge graphs and Large Language Models (LLMs) in biomedical research. In this session, Sebastian will present open-source frameworks for knowledge graph creation and LLM interaction to increase accessibility for the research community. You’ll learn about the BioCypher library, which enables the creation of knowledge graphs for various biomedical applications through its Python framework. The BioChatter library will also be discussed, showcasing its role in facilitating interactions between human researchers, LLMs, knowledge graphs, and vector databases. Attending this session will give you insights into advanced research workflows, fostering accessibility and reproducibility in your work.