Sponsored By: Neo4j | Accelerating GenAI to Production with Neo4j and Databricks

Knowledge graphs have been proven to provide higher contextual accuracy for Generative AI solutions than typical Retrieval Augmented Generation (RAG) approaches. Neo4j knowledge graphs serve as a foundation for grounding LLMs and enable the use of Graph Retrieval Augmented Generation (GraphRAG) for generative approaches. Join us to learn how to build a Neo4j knowledge graph from your unstructured and structured data in Databricks. We’ll explain how the partner certified Neo4j Connector for Databricks can be used within Databricks Notebooks to build a graph in Neo4j, for grounding your models to avoid hallucinations, helping ensure a higher quality Generative AI experience. Neo4j has been solving business problems like supply chain, fraud detection, entity resolution, and master data management for Databricks customers for many years and GraphRAG is an extension of these existing use cases.