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English to SQL via C-Phrase

C-Phrase is a front-end for natural language querying of SQL-based databases. So instead of writing SQL or filling out forms, users just type (or click build) their questions and commands in plain English. It uses AI to find all the meaningful interpretations of the user’s input. If there are multiple possible interpretations or if the user is requesting a data modification, then paraphrases interpretations back to the user in English for selection or confirmation. This gives users complete control over what SQL gets applied.

This approach promotes data democratization: Non-technical users can ‘google’ the database using precise, often complex conditions. Results are specific values, lists, tables, or charts. Users can export these results to CSV files in a single click for use in other tools. Administrators can easily set up example questions, extended lexicons, and reports to empower even the most non-technical users.

Additionally, it raises data quality: Many companies must manually fix data in complex SQL databases to deliver high-quality products and services. Often this is a painstaking process involving standardization of data values, removal of outliers, and one-off corrections. Companies might also wish to insert answers from ChatGPT into the given database. Users can be given the ability to input, update, or delete data via natural language commands. This results in the rapid creation of SQL scripts that can be integrated into data deployment pipelines. The data modification capability can be enabled on a table-by-table basis and is naturally off by default.

Furthermore, it reduces administration costs: Users would like to ask a series of unanticipated questions over various levels of granularity to tease out subtle trends in the data. Busy database administrators prefer to give users self-service capabilities rather than constantly being tasked to write special dashboards, data entry screens, or custom SQL. This platform provides exactly this capability.

Each new release comes with additional example configurations and databases. Launching it will give you immediate access to these examples which you are free to adapt to your own purposes. The number of users and natural language interfaces per virtual machine is limited only by the size of the virtual machine you launch. It is quite likely all your needs will be met with a single small virtual machine.”

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