Summary

Keywords

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

Full Transcript

In today's interconnected digital landscape, traditional relational databases often struggle with highly connected data. In this session, Abhishek will share his two-year journey implementing Neo4j in production environments, highlighting the transition from conceptual graph thinking to production deployments. You will gain insights into graph modeling considerations and see examples of Cypher queries in action. More importantly, you will understand the reasoning behind when and why to choose graph databases for your projects and how they can fundamentally transform your approach to data relationships. Through real-world examples and data visualization insights from actual implementations, Abhishek will demonstrate how graph databases unlock new capabilities for handling complex relationships in your data, enabling powerful generative AI features and enhanced search capabilities in your applications. Whether you're exploring graph technology for the first time or seeking to improve your existing Neo4j implementation, this session will provide valuable insights to help you navigate your own graph voyage. Speaker: Abhishek Das 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