Generative AI and LLMs have changed the world but there are still many challenges (hallucinations, auditability, etc.) to be solved. By leveraging the easy access to any data from Databricks, GenAI and LLMs will use Neo4j Graph Database to bring control and context to any knowledge projects. This session will present why Graph Databases are needed for grounding data from Databricks in your GenAI projects. CPF, who has been using both technologies for some time, will share about their use cases.
Neo4j
Diamond
Overview
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden patterns and relationships across billions of data connections deeply, easily and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j’s full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture and ACID compliance. Neo4j’s dynamic open-source community brings together over 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies and NGOs. Visit neo4j.com.
Sponsored Sessions
Lightning Talk
All Sessions
Friday, Aug 30
1:00 p.m. Friday, Aug 30
