What problem does it solve?
Translates natural language questions into SQL queries by automatically discovering the database schema, enabling safe, read-only data exploration and XML export of results to configurable storage backends.
Core Features & Use Cases
- Schema discovery from PostgreSQL, MySQL, and SQLite databases to generate accurate SQL against real schemas
- LLM-driven SQL generation with strict safety constraints to ensure read-only access and allowed functions
- XML export of query results to Google Drive, S3, Azure, GCS, or local storage for downstream workflows
- End-to-end workflow from natural language input to storage-ready XML with metadata
- Use Case: A data analyst asks a question like "What were total sales by region in 2023?" and receives a ready-to-use XML report
Quick Start
Provide a natural-language description of a data question to generate SQL and export results to storage.