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KG2Cypher presents a data-centric pipeline for building enterprise text-to-Cypher systems from existing knowledge graphs. It uses LLMs to generate natural language question-Cypher pairs, validated by an LLM judge and human review, and achieves significant performance improvements on Korean enterprise datasets with LoRA-based fine-tuning.