TuGraph-family/Awesome-Text2GQL
Fine-Tuning Dataset Auto-Generation for Graph Query Languages.
This tool helps data professionals and developers create high-quality datasets for training AI systems that can understand natural language questions and translate them into graph database queries. It takes in a description of your data domain, generates a graph schema and realistic sample data, and then creates question-query pairs in various graph query languages. This is ideal for those building chatbots or natural language interfaces for graph databases.
Use this if you need to build a large, diverse dataset of natural language questions and corresponding graph database queries to train an AI model.
Not ideal if you are looking for a tool to directly query your graph database using natural language without building a custom AI model.
Stars
94
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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