Accelerating GenAI to Production with Neo4j and Databricks

Discover how to leverage knowledge graphs for enhanced contextual accuracy in Generative AI solutions compared to typical Retrieval Augmented Generation (RAG) approaches in this 21-minute talk by Stu Moore, Senior Product Manager at Neo4j. Learn to construct a Neo4j knowledge graph using unstructured and structured data in Databricks, and explore the implementation of Graph Retrieval Augmented Generation (GraphRAG) for improved generative approaches. Understand how the partner-certified Neo4j Connector for Databricks can be utilized within Databricks Notebooks to build graphs that ground models and prevent hallucinations, ensuring a higher quality Generative AI experience. Explore how Neo4j's expertise in solving business problems like supply chain, fraud detection, entity resolution, and master data management for Databricks customers extends to GraphRAG applications. Gain insights into accelerating GenAI production using the combined power of Neo4j and Databricks.