bim-query

Cypher queries retrieve structural data from BIM graphs by matching nodes and relationships. Connect to your Neo4j instance, write a Cypher query to filter elements by type, spatial location, or relationships, then execute it to return counts, lists, or relationship paths for analysis and reporting.

Yes. Cypher supports spatial queries to find elements within specific rooms or locations and adjacency queries to identify neighboring or hosting relationships. Combine MATCH clauses with spatial filters and relationship traversals to return related elements for design decisions and cost estimation.

You need a running Neo4j instance with BIM data loaded, properly labeled nodes for elements, spaces, and costs, and defined relationships between them. Parameterized queries and query profiling tools optimize retrieval performance against your graph structure.

Use query profiling to identify slow traversals, add indexes on frequently filtered properties, parameterize queries to improve caching, and structure MATCH clauses to minimize relationship scans across large BIM graphs before filtering results.

Yes. Cypher queries traverse hosting relationships and element hierarchies to return elements grouped by level, category, or parent. Retrieve counts, attributes, and relationships in a single query to populate cost reports, progress tracking, and structural analysis.

Relationship queries traverse hosting, adjacency, and dependency links between elements to find connected data. Spatial queries filter elements by location within rooms or zones. Both are essential—combine them to answer complex questions about element grouping, location, and dependencies across projects.