people · May 17, 2026
Stephen Chin Presents Context Graphs for Auditable AI Decisions
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Stephen Chin from Neo4j presented on context graphs at an event, arguing retrieval alone fails because agents lose reasoning behind past decisions. Context graphs capture relationships to make AI decisions auditable and traceable. Neo4j released the underlying Agent Memory package as open source with two demo applications including a financial services loan approval system. The presentation referenced Foundation Capital's $3 trillion startup opportunity post on context graphs and pointed to Graph Academy courses plus GitHub repository for developers.
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