TextQL, a YC-backed company, translates programs over business hypotheses to SQL queries for experiments. mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise ...

New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

Without detailed contextual understanding of the data, the text is converted into SQL that doesn’t give the right answer. But thanks to the use of its semantic layer, AtScale claims that it has ...

As the demand for natural language data queries continues to grow, so does the need for a standardized way to evaluate Text-to-SQL (T2SQL) solutions.

Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

Squash the dangers lurking in your SQL queries by setting parameters by way of parameterized queries.

Google put MUM to work within its Google Lens visual search features, where it would allow users to add text to a visual search query. “We redefined what we mean to search by introducing Lens.

Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data.