FAQ from DataLang
What is DataLang?
Effortless Database Interaction
How to use DataLang?
Connect your databases, define data views using SQL, set up a GPT Assistant, create personalized ChatGPT instances, and share them with team members, clients, or customers.
Do I need any technical knowledge to use DataLang?
Basic knowledge of connection strings (e.g., postgres://{USER}:{PASSWORD}@{HOST}:{PORT}/{DATABASE}) and SQL queries is needed. Once set up, you can interact using natural language.
How does DataLang secure my data?
DataLang uses robust encryption and access controls to protect your data, ensuring secure interactions.
What are some use cases for DataLang?
DataLang is ideal for interactive querying, data analysis, creating custom GPT models, and transforming data into secure API endpoints.
What types of questions can I ask in DataLang?
You can ask natural language questions about your database, such as data retrieval, trend analysis, and generating insights.