Live from NODES 2025 | Building Contextual Knowledge Graphs to Adapt, Evaluate, and Leverage LLMs

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NODES 2025: https://neo4j.com/nodes-2025/?utm_source=video&utm_medium=stream

Welcome to NODES 2025, the biggest online conference dedicated to graph-powered apps, knowledge graphs, and AI. Join thousands of developers, data scientists, architects, and data pros as they learn the best techniques for graph-powered applications, AI Agents, and more.

Building Contextual Knowledge Graphs to Adapt, Evaluate, and Leverage LLMs
In this session, I’ll share how I built contextual knowledge graphs by combining diverse datasets like Geonames, OpenStreetMap, Yelp, and Wikidata. These graphs were designed to enrich LLMs with real-world context, enabling more relevant and grounded outputs.​ I’ll walk you through the process of modeling user behavior and spatial semantics, and how I used Neo4j to prototype, query, and scale these graphs. Along the way, I’ll highlight lessons learned in schema design, Cypher optimization, and integrating graph-based context into LLM workflows.​ You’ll learn practical techniques to adapt LLMs using graph-driven context, evaluate their outputs with graph-based signals, and leverage Neo4j to bridge structured knowledge and generative AI. Whether you’re building AI applications or exploring graph-powered personalization, this session will provide actionable insights to enhance your projects.

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