Hugging Face Overview
Model Overview
The gregradzio/text-to-cypher-qwen2.5-1.5B is a specialized 1.5 billion parameter language model built on the Qwen2.5 architecture. Its core function is to translate natural language questions into executable Cypher queries for graph databases.
Key Capabilities
- Natural Language to Cypher Conversion: Transforms user prompts into valid Cypher query language.
- Schema-Aware Query Generation: Can leverage provided graph schema information (node labels, properties, datatypes) to generate more accurate and contextually relevant Cypher queries.
- Flexible Input Format: Supports both simple natural language queries and a structured query format that includes schema details.
- Output Formatting: Generates Cypher queries, potentially wrapped in markdown code blocks for clarity.
Good For
- Graph Database Interaction: Ideal for applications requiring natural language interfaces to Cypher-based graph databases like Neo4j.
- Developer Tools: Can assist developers in quickly generating complex Cypher queries without deep manual crafting.
- Data Exploration: Enables users to query graph data using plain English, simplifying data access and analysis.