Neo4j Full-Text Search - Cypher Typing CST Test
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Neo4j Full-Text Search — Cypher Code
Using full-text indexes to search across multiple properties.
CALL db.index.fulltext.createNodeIndex("personIndex", ["Person"], ["name","email"]);
CALL db.index.fulltext.queryNodes("personIndex", "Alice")
YIELD node, score
RETURN node.name, score;Cypher Language Guide
Cypher is Neo4j’s declarative graph query language designed for creating, querying, and manipulating graph data structures. It uses ASCII-art-like pattern matching to express complex graph relationships intuitively.
Primary Use Cases
- ▸Graph traversal and pathfinding
- ▸Recommendation systems
- ▸Social network analysis
- ▸Fraud detection and link analysis
- ▸Knowledge graphs and semantic search
- ▸Network and IT infrastructure mapping
Notable Features
- ▸Pattern-matching syntax for graph queries
- ▸Variable-length path traversals
- ▸Shortest-path algorithms
- ▸Constraints and schema definitions
- ▸Native graph manipulation (CREATE, MERGE)
- ▸Integration with APOC graph procedures
Origin & Creator
Developed by Neo4j Inc. in 2011 as the primary query language for graph databases; later adopted under open standards via the openCypher project.
Industrial Note
Cypher dominates industries where relationships are more important than tabular rows: fraud graphs, financial link analysis, logistics routing, recommendation engines, social networks, cybersecurity threat graphs, and semantic knowledge graphs.