Learn about the best ways to extract data using SQL from text files in different formats, such as CSV, JSON, XML, or plain text. See examples of commands and queries.

Text-to-SQL data sets leverage natural language processing and machine learning algorithms to interpret and convert human-readable text queries into SQL queries that can be executed against ...

Text-to-SQL-LLM-model is a personal project aimed at allowing users to input natural language text instead of SQL queries to retrieve data. The project utilizes Google Gemini Pro models for ...

The LLM Text-to-SQL Query Dashboard aims to democratize access to data stored in SQL databases by removing the barrier of complex SQL syntax. Using this platform, users can: Write queries in natural ...

Synthetic data generation company Gretel last week announced it has donated more than 100,000 examples of text-to-SQL conversions and parked them on Huggingface, providing enterprises with another ...

Take advantage of the open source library Serilog to log your ASP.NET Core application’s data to SQL Server or another database target. Logging is an essential feature for any application, as it ...

Gretel releases world's largest open source Text-to-SQL dataset, empowering enterprises to harness AI's potential with high-quality synthetic data while balancing privacy and accessibility.

We have an ancient AS/400 730 system that still houses some old budget/financial data. We'd like to decommission this box, and migrate the data to a SQL server. The data won't be modified or ...