DataLang

What is DataLang?

DataLang is a platform that allows users to connect their data sources, set up data views with SQL, configure a GPT Assistant, create a Custom ChatGPT, and share it with their users, employees, or customers. It enables the creation of custom chatbots from various data sources like Postgres, Websites, Google Sheets, Notion, Files, Text, and HTML.

How to use DataLang?

Connect data sources, add data views, train GPT with selected data sources, and share the chatbot via public URL, embed it on a website, or publish to the GPT Store.

DataLang’s Core Features

Connect multiple data sources (SQL, Files, HTML, Notion, Google Sheets…) Configure chatbot Share chatbot via public URL, website embed, or GPT Store Natural Language Processing AI-Powered Insights Data Analysis Interactive Querying Intuitive Data Exploration

DataLang’s Use Cases

• Create chatbots from Postgres, Websites, Google Sheets, Notion, Files, Text, HTML, and more.
• Share data insights with users, employees, or customers through a chatbot interface.