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, 2024 at the AI, Machine Learning and Data Science Meetup.
Top comments (1)
Nice video, was helpful! Good that I checked this blog on Graph RAG before going through the video, it served as a help assistant :)