As organizations scale GenAI from concept to production, they face challenges like ensuring accuracy, explaining responses, and connecting GenAI to unique knowledge. This session shows how GraphRAG combines knowledge graphs with retrieval-augmented generation to build GenAI apps grounded in enterprise data. Learn how companies like Klarna have deployed GenAI to build chatbots grounded in knowledge graphs, improving productivity and trust, while a major gaming company achieved 10x faster insights. We'll share real examples and practical steps for successful GenAI deployment.
talk-data.com
J
Speaker
Jim Webber
1
talks
author
Neo4j
As Neo4j's Chief Scientist, Jim spearheads the Systems Research Group, shaping the
future of graph technology. His depth of expertise in large-scale distributed systems is
invaluable to Neo4j. An accomplished author, including the O'Reilly book 'Building
Knowledge Graphs', Jim has played a pivotal role in developing the Cypher query
language, democratizing graph theory for developers and analysts alike.
Bio from: gartner-data-analytics-india-2025
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