Context Graphs in Action with TrustGraph
Daniel Davis and Mark Adams from TrustGraph will show how context graphs — far from being abstract ideas — are being built and used today. TrustGraph has been building this technology for over 2 years and is in production with users today. You’ll learn how to construct, optimize, and practically apply context graphs to drive more reliable, grounded, and efficient AI systems.
🔗 Background reading (recommended):
• The Context Graph Manifesto — the guiding philosophy for building context graphs and why they matter (read it here: https://x.com/TrustSpooky/status/2006481858289361339)
• What is a Context Graph? — a video discussion of the history of knowledge graphs and their evolution into context graphs (watch it here: https://www.youtube.com/watch?v=gZjlt5WcWB4)
• AI’s trillion-dollar opportunity: Context graphs — a Foundation Capital post framing context graphs as a massive emerging opportunity in enterprise AI (https://foundationcapital.com/context-graphs-ais-trillion-dollar-opportunity/)
🔍 What you’ll learn:
*📌 What context graphs are, and why they matter now — not just as a theoretical construct, but as a practical way to structure knowledge for AI systems so that they can reason rather than simply retrieve text. Context graphs represent entities and their relationships in semantically rich, AI-optimized structures that fit within model constraints and reduce hallucinations (as described in TrustGraph’s glossary).
📌 The real context revolution — how context graphs capture decision traces and structured “why” information that legacy systems often miss, a key part of the trillion-dollar opportunity argument from Foundation Capital.
📌 How to build context graphs today — step-by-step demonstrations of tooling, methodologies, and best practices for constructing context graphs from documents, databases, knowledge sources, and ontologies.
📌 Working with context graphs in real workflows — see examples of APIs, graph extraction workflows, relevance ranking, and integration with conversational AI and decision support systems.
Whether you’re building AI applications, integrating contextual knowledge into your stack, or exploring next-generation data systems, this session will give you hands-on insight into how context graphs are being used in real products today — not years down the line.
🎤 Featuring:
Daniel Davis & Mark Adams (TrustGraph) — creators and open-source pioneers building graph infrastructure that helps AI reason with structured context.
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