Google Cloud Introduces Querydata To Help Ai Agents Create Reliable Database Queries
InfoWorld, Monday, April 13th, 2026
However, analysts say that its deterministic, controls-based features add complexity to upfront design. A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or applications.
QueryData, which translates natural language into database queries with what the company claims is 'near 100% accuracy,' is being pitched as an alternative to direct generation of queries by large language models (LLMs), which Google says can introduce inaccuracies due to their limited understanding of database schemas and their probabilistic reasoning.
However, to create that necessary understanding, enterprise teams using QueryData first need to define what Google describes as 'context' describing how data should be accessed and queried, which involves encoding details about database schemas, including descriptions of tables, relationships, and business meaning, along with deterministic instructions that guide how queries are generated or executed.