Computer Vision Meetup: GraphRAG with a Knowledge Graph

Knowledge Graphs place information in context using graph structures to express local and global semantics. When used in a RAG context, particular access patterns emerge that map natural language to different graph data patterns. We’ll review both the model and the matching code.

Speaker: Andreas Kollegger is a founding member of Neo4j, now responsible for researching the use of Knowledge Graphs for GenAI applications.

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Recorded on April 18, …

access ai code computer computer vision computervision context data datascience express global graph graph data graphs information knowledge knowledge graph knowledge graphs language machinelearning map meetup natural natural language neo4j patterns rag review semantics speaker vision