Build a Text-to-SQL solution for data consistency in generative AI using Amazon Nova

This article demonstrates how to build a Text-to-SQL solution using Amazon Nova to enable non-technical users to query organizational data consistently and precisely through natural language interactions.

• Compares different data querying methods like RAG, generative BI, and Text-to-SQL
• Uses Amazon Nova Pro and Nova Lite models to generate and format SQL queries
• Supports multiple database platforms including Amazon RDS, Aurora, and Microsoft SQL Server
• Provides a dynamic schema retrieval mechanism to adapt to database changes
• Enables users to ask natural language questions and receive precise, deterministic database query results

The solution simplifies data access for non-technical users by translating natural language questions into accurate SQL queries, making organizational data more accessible and actionable.