Neo4j launches Context Engine to provide a shared knowledge layer for enterprise AI agents
Neo4j has launched the Neo4j Context Engine, a platform designed to help enterprises build a shared knowledge layer that enables AI agents to interpret business data, understand relationships across systems and deliver more reliable, explainable outputs.
Available in private preview, the Context Engine brings together business ontologies, context-building and runtime capabilities, visual management tools, and graph-native memory. The platform aims to help organisations make enterprise knowledge reusable across AI agents, rather than configuring context separately for individual applications.
As enterprises deploy AI agents to automate workflows, a key challenge is ensuring that these systems understand the meaning of business concepts and the relationships between them. Information about customers, accounts, suppliers and risks is often distributed across databases, applications, documentation and individual AI implementations.
Neo4j said the Context Engine is designed to address this fragmentation by connecting underlying data sources with business logic, giving AI agents access to structured context when...
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