NODES 2025 - From Aviation Data to AI Copilot: Building a Conversational Graph for Flight Intelligence

This session will explore how a multisource aviation knowledge graph powers an intelligent conversational assistant capable of answering complex flight operations questions. Vishakha will demonstrate how graph data models, real-time ingestion pipelines, and schema-driven ontologies come together to support a chatbot that understands NOTAMs, weather data (TAF/METAR), airport configurations, crew trips, and more. Attendees will learn how to architect a Neo4j-backed system that combines structured aviation data with LLM capabilities. The session will walk through key graph modeling choices, ingestion patterns, ontology governance, and how these enable domain-specific reasoning and natural language interactions. By the end of the session, attendees will understand how to bridge structured graph data with GenAI to build real-world, safety-critical applications. Speaker: Vishakha Verma 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