FAQ from DataLang
What is DataLang?
Chat with your Databases
How to use DataLang?
Connect your data sources, set up data views with SQL, configure a GPT Assistant, create a Custom ChatGPT, and share it with users, employees, or customers.
Do I need any technical knowledge to use DataLang?
You need to know your connection string (e.g. postgres://{USER}:{PASSWORD}@{HOST}:{PORT}/{DATABASE}) and perform SQL queries. Once you have your data views set up, you can ask questions in natural language without needing any technical knowledge.
How does DataLang secure my data?
DataLang ensures data security through appropriate measures such as encryption and access control. It prioritizes the protection of user data.
What are some use cases for DataLang?
DataLang can be used for interactive querying, data analysis, creating custom GPT models for insights, and transforming data into API endpoints.
What types of questions can I ask in DataLang?
You can ask any natural language queries related to your database, such as retrieving specific data, analyzing trends, or obtaining insights.