Work / Queryhub.ai · 2024
Conversational data access for internal workflows
Built a natural-language interface for querying databases, reducing the friction between business questions and usable SQL.
Problem
Internal teams often need data answers but depend on SQL knowledge, analysts, or slow handoffs to turn questions into queries.
What I built
I built a conversational data workflow that generated inspectable SQL from natural language, kept schema context visible, and let users run queries in-browser.
- Natural language data access across multiple database types
- In-browser query execution with grounded schema context
- Conversational workflows for faster internal discovery
- Open-source foundations teams can fork and tune internally
Stack
- Next.js App Router for full-stack SSR
- PostgreSQL as the canonical reference integration
- OpenAI for query generation grounded in schema context
- TypeScript and Tailwind throughout
Outcome
Open-sourced as a working reference for grounded conversational data workflows.