Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

In this session, Pavan will share his company's journey from a single-project implementation of Neo4j to managing multiple, evolving projects using the same database. As our business requirements changed, so did the database schema, and with each new project came additional challenges, especially in tracking data history. Managing ownership, access permissions, and auditing who changed what and when grew increasingly complex. To overcome these challenges, we built a data management layer on top of our Neo4j instance. This layer not only streamlines the tracking of schema modifications, data ownership, and access rights but also empowers users without any prior Neo4j expertise to interact with the database. Using the intuitive interface, users can view, update, and create data—all while maintaining a robust audit trail. At the end of this session, you will learn about the obstacles we encountered and the innovative solutions we implemented to ensure seamless and secure data management. Speaker: Pavan Kumar Narendra Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph