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

Automatically parsing SQL queries from natural languages can help non-professionals access databases and improve the efficiency of information utilization. It is a long-term research issue and has ...

An essential bridge connecting human language and structured query languages (SQL) is text-to-SQL. With its help, users can convert their queries in normal language into SQL commands that a database ...

How to Use SQL Statements in MS Excel. With most Excel spreadsheets, you enter data manually into cells and then use formulas or other functions to analyze it or perform calculations.

Existing multi-turn Text-to-SQL approaches, mainly use data in a randomized order when training the model, ignoring the rich structural information contained in the dialog and schema. In this paper, ...

Get Started With GSC Queries In BigQuery This SEO approach to BigQuery answers the question: What do I do once I connect BigQuery to Google Search Console? Let's find out!

Convert a graphql query + graphql schema into an openapi spec. Demo Not to be confused with the obviously more useful openapi-to-graphql.

MongoDB Relational Migrator promises to automatically convert SQL queries and stored procedures in legacy applications to development-ready MongoDB Query API syntax by using a large language model.

Defog.ai has released SQLCoder, a cutting-edge model for translating inquiries in natural language into database queries. Regarding generic SQL schemas in Postgres, SQLCoder greatly beats all major ...

A few months ago a new option was added to the Sql.Database and Sql.Databases functions in Power Query in Power BI and Excel which allows Power Query queries that combine data from different SQL ...