Showing 1-12 of 12 projects
Conversational data analysis with LLMs using natural language queries on databases, CSVs, and data lakes.
Vanna 2.0 turns natural language questions into SQL queries and data insights with enterprise security and a modern web interface.
An AI-powered business intelligence tool that generates SQL, charts, and insights from natural language queries.
A chat-based SQL client and editor that supports multiple databases and integrates with AI tools like ChatGPT.
A text-to-SQL generation system powered by large language models and RAG, enabling intelligent data analysis through conversational queries.
A Python library that enables interaction with SQL databases using natural language and large language models.
Curated tutorials and resources for large language models, text-to-SQL, and related AI-powered development tools
A repository providing models, datasets, and fine-tuning techniques for DB-GPT to enhance Text-to-SQL performance.
A project that integrates text-to-SQL dataset, solutions, and research papers for developers working with AI tools.
This handbook provides practical guidance for researchers and practitioners on the latest Text-to-SQL techniques.
A curated list of resources on large language model-based text-to-SQL for developer productivity and database access.
Scripts and baselines for the Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge.
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