The Power of Context and Graphs at SuperNova 2026

A fireside chat with Philip Rathle, CTO of Neo4j, discussing the impact of AI on the software industry, the evolution of data stacks, and the role of graph technology in building trustworthy AI agents.

SuperNova 2026 event.

00:20 Software Differentiation in the AI Era: Traditional SaaS companies must move beyond code to differentiate. True competitive advantage now comes from data network effects, deep domain mastery, and a superior end-to-end user experience (UX).
04:50 Requirements for the “Agentic Data Stack”: For AI agents to move into production, they need a dedicated data platform that provides real-time transactional access, handles unstructured and semi-structured data, and bridges existing data silos.
09:24 The Power of Context and Graphs: AI requires explicit context—understanding subjects, objects, and their complex interactions—to move beyond simple fact retrieval. Graph technology provides this context by modeling the real world’s interconnected systems.
14:15 Introduction to GraphRAG: The “GraphRAG” pattern combines LLMs with knowledge graphs to enable “multihop reasoning,” allowing AI to delegate complex analytical tasks while improving accuracy and explainability.
20:53 Strategic Category Creation: Neo4j’s vision was to build a system that represents data like the human brain, using neurons and synapses as a model for nodes and relationships. This led to long-term strategic choices, such as establishing GQL as an international ISO standard to eliminate vendor lock-in and grow the graph technology category.
28:03 Building Trustworthy AI: To ensure human agency and trust, AI systems must move beyond “black box” non-determinism. Critical systems should use neuro-symbolic approaches, combining probabilistic models with rule-based systems for 100% accuracy and explainability.