CoreModelsGuides
Neo4j
Write down the graph schema MERGE has been inferring for you.
- Your First Neo4j Schema Audit: A Complete Worked ExampleQuickstart · Take a small graph — three labels, a handful of properties, three relationship types. By the end of this article that graph has a governed model in CoreModels and a recorded baseline audit that tells you, in machine-readable form, exactly what is under governance and where the graph is structurally weak. Total effort: two Cypher statements and two HTTP calls.
- The Neo4j Integration API, Route by RouteAPI · Ten routes, two surfaces, one rule about who is allowed to write. That is the core HTTP contract for governing a Neo4j estate with CoreModels, and this article documents it exhaustively — payloads, roles, response shapes, and the failure modes you will actually hit.
- Four Tools, One Knowledge Graph: Neo4j Governance from the Agent SideMCP · An AI agent connected to CoreModels over MCP sees a small, deliberately shaped set of vendor-integration tools. Three of them cannot write anything at all; the fourth requires Admin membership on the project *and* a different endpoint. That shape is the point of this article: an agent can drive the entire Neo4j governance loop — discover, audit, report, generate the fix — while the only mutating step in the loop stays behind an explicit privilege boundary.
- Automating Neo4j Drift Control: The Gate, the Trail, the Badge, the HeartbeatAutomation · Most CI integrations start with an artifact the build already produces. Neo4j does not produce one — there is no compile step for a property graph, no manifest, no migration file that reviewers can read. So the first job in automating Neo4j governance is not writing the gate. It is deciding where meta_schema.json comes from in your pipeline.
- Projecting a Property Graph onto a Governed Model: Inside the Neo4j ConnectorDeep dive · CoreModels has one estate model and every vendor parses into it: datasets (table-shaped things) with fields and normalized checks, plus lineage edges and projections. A dbt project, a warehouse schema, and a schema registry all land in the same shape.
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