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Neo4j makes the case for knowledge graphs as shared context for AI agents.

SiliconANGLE AIIndependent reporting··Updated just now
AI brief

Neo4j argues that knowledge graphs can serve as shared context for enterprise AI agents, letting them share an understanding of data, business rules and processes. It notes that this context becomes harder to maintain when each new agent carries its own version of what the business knows.

Why it matters: A shared knowledge graph could reduce duplicated, diverging context as companies add more AI agents.

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