Optimizing AlloyDB AI text-to-SQL accuracy

Today’s AI capabilities provide a great opportunity to enable natural language (NL) interactions with your enterprise data through applications using text and voice. In fact, in the world of agentic applications, natural language is rapidly becoming the interaction standard. That means agents need to be able to issue natural language questions to a database and receive accurate answers in return. At Google Cloud, this drove us to build Natural-Language-to-SQL (NL2SQL) technology in the AlloyDB database that can receive a question as input and return a NL result, or the SQL query that will help you retrieve it.

Currently in preview, the AlloyDB AI natural language API enables developers to build an agentic application that answers natural language questions on their database data by agents or end users in a secure, business-relevant, explainable manner, with accuracy approaching 100% — and we’re focused on bringing this capability to a broader set ...