Natural Language to SQL Query & Analytics Engine
Empowering non-technical teams to query relational databases directly using plain English.
The Friction
Business stakeholders need constant, ad-hoc reports and data summaries from relational databases to make informed strategic decisions. Relying on engineering or analytics teams to write custom SQL queries creates a multi-day bottleneck for even the simplest questions. This delay slows down operational decision-making, increases engineering backlog, and limits self-service data access for non-technical team members seeking real-time business intelligence.
The Neural Architecture
We deployed a Dockerized Text-to-SQL API utilizing the Vanna.ai framework (OpenAI GPT-4o-mini + ChromaDB). The system dynamically extracts schema metadata to train a semantic query index, translates English questions into PostgreSQL queries, and parses the SQL using SQLGlot to ensure only safe SELECT statements execute.
Tech Stack Deployed
Impact Report
- Allowed business users to retrieve live report data in under 2 seconds.
- Eliminated 100% of engineering backlog for simple ad-hoc data requests.
- Implemented strict guardrails (read-only DB role, SELECT statement parsing, automatic LIMIT injection) preventing SQL injection or data mutation.
- Designed a sandbox mode for developers to preview generated SQL query structures before execution.