NODES 2025 - Batch Data to Graphs: Integrating Neo4j and Flink via JDBC

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

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

Full Transcript

In this short talk, we’ll take a brief but practical look at integrating Neo4j with Apache Flink using the Neo4j JDBC driver. Through an example of importing a bounded dataset into a Neo4j instance, you will see how the JDBC driver offers a straightforward and effective way to connect graph databases to your data processing workflows. This session highlights how the integration works in practice and demonstrates how easily you can connect Flink with a graph database. Speaker: Eugene Rubanov 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