Graph node and relationship writes

Neo4j AuraDB holds data as nodes and the relationships between them in a fully managed graph. A Beam agent reads from the graph and, when an approved event arrives, writes a node or relationship update under the rules your engineers set. It applies only the changes permissions allow and notes each write. A change that would remove many relationships, alter a core entity, or affect a large subgraph routes to an engineer rather than running on its own. A person keeps that judgment while the agent shows the affected nodes and the query it intended to apply.

Graph queries for reporting

Neo4j AuraDB answers questions about connected data through graph queries, such as how entities relate across several hops. A Beam agent reads a request, runs an approved read-only query, and updates a report or notifies the requester with the result. Standard queries within known patterns answer on their own. A query that would scan a heavy portion of the graph, or one outside the approved set, goes to an engineer for a decision before it runs. The agent keeps results tied to the query behind them so people can trust and reproduce what they see.

Data integrity checks

Neo4j AuraDB relies on consistent nodes and relationships to give reliable answers. A Beam agent reads the graph on a schedule, checks it against your integrity rules, and notifies an owner when something looks off, such as an orphaned node or a broken link. Expected, low-risk findings it notes and moves past. A pattern suggesting corruption, a missing critical relationship, or a finding the agent cannot classify routes to an engineer, who keeps the decision. The agent presents each finding with the nodes involved so a person acts on facts rather than a vague warning.