CYGNET: Cypher Gate for Neural Execution Triage and Cost Containment
Researchers have developed CYGNET, a system designed to act as a gatekeeper for language models generating Cypher queries for knowledge graphs. This gate validates query structure and flags potentially costly execution plans before they reach a production Neo4j database. The system includes a corrector that uses language models to fix structurally broken queries, achieving high success rates across various models and schemas. AI
IMPACT Enhances the reliability and safety of language models interacting with structured knowledge bases.