DataLang

About DataLang

DataLang offers an innovative way to create custom chatbots from various data sources, including PostgreSQL, Google Sheets, and Notion. Targeting businesses and developers, it simplifies chatbot deployment, allowing users to engage with their data intuitively and interactively, enhancing decision-making processes.

DataLang features subscription plans tailored to fit all organization sizes. Starting with a free tier, it provides access to one data source and basic capabilities. The Basic, Pro, and Business plans offer increased user limits, data sources, and credits, ensuring scalability for growing teams.

DataLang's user interface is designed for simplicity and efficiency. Its intuitive layout allows users to connect multiple data sources easily and configure chatbots seamlessly. With user-friendly features and easy navigation, DataLang ensures that both beginners and experts can utilize the platform effectively.

How DataLang works

Users begin by signing up on DataLang, connecting their data sources like PostgreSQL or Google Sheets. They then add data views to expose specific datasets and train their chatbot using these sources. Once configured, users can share their chatbot via public URLs, embed widgets, or publish to the GPT Store, making interaction easier and more engaging.

Key Features for DataLang

Connect Multiple Data Sources

DataLang’s key feature allows users to connect multiple data sources, including databases and APIs. This functionality lets users integrate diverse datasets seamlessly, enhancing chatbot responses and insights by leveraging various information fields, ultimately leading to more informed decision-making.

Customizable Chatbot Deployment

DataLang enables users to customize chatbot deployment through public URLs, website embedding, and API integration. This flexibility allows businesses to enhance customer interaction effortlessly, ensuring users can tailor their chatbot experience according to specific audience needs and platforms.

User-Friendly Interface

DataLang's user-friendly interface streamlines the chatbot creation process, allowing users to navigate seamlessly. With clear options to connect data sources and customize chatbots, it enhances user experience, making tech-savvy and non-technical users alike feel confident while using the platform.