Awesome-Text2SQL and Awesome-Text2GQL
These are ecosystem siblings, as both projects curate resources and tutorials for generating queries from natural language, with one focusing on SQL and the other on Graph Query Languages, indicating a shared domain with differing target query languages.
About Awesome-Text2SQL
eosphoros-ai/Awesome-Text2SQL
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
This project compiles tutorials and resources for converting natural language questions into database queries. It helps data analysts, business intelligence specialists, and anyone needing to extract specific information from databases without writing complex code. You provide a question in plain English, and the system generates the corresponding SQL query to get your answer.
About Awesome-Text2GQL
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.
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