Dr. Alexander Jarasch sets the stage with an overview of vectors, highlighting how they efficiently transform clunky data into machine-readable formats and compute similarities. Discover how large language models (LLMs) and knowledge graphs can work together to reduce hallucinations and enhance data representation and retrieval accuracy. The session includes practical examples and use cases demonstrating the integration of unstructured data into graph databases and the power of retrieval-augmented generation (RAG). Dive into the fascinating world of vector indexes and learn how they can revolutionize data handling in the life sciences sector!
Dr. Alexander Jarasch
LifeScience Expert – Neo4j
#neo4j #graphdatabase #pharma #lifescience #healthcare #knowledgegraph