DataLang

DataLang allows users to create chatbots from various data sources for enhanced interaction.
August 13, 2024
Web App
DataLang Website

About DataLang

DataLang empowers users to build custom chatbots effortlessly by connecting diverse data sources, offering a unique way to interact with information. Ideal for businesses and developers, it simplifies complex data processing and enhances user engagement with AI-driven interactions, making data exploration intuitive and accessible.

DataLang offers tiered pricing plans that cater to various needs. Starting with a free plan for basic chatbot creation, followed by the Basic plan at $19/month, and the Pro plan at $49/month for growing teams. Businesses can opt for the comprehensive $399/month plan, ensuring everyone finds a suitable option.

DataLang boasts a user-friendly interface designed for seamless navigation. Its structured layout enhances usability, allowing users to easily set up data connections and configure chatbots. Notable features provide an intuitive experience, making DataLang a go-to choice for efficient data exploration and chatbot deployment.

How DataLang works

To get started with DataLang, users first connect their data sources such as SQL databases and files. Next, they add a specific Data View to expose relevant information. Users can then train the chatbot using selected data sources and finally share their chatbot using a public URL or embed it into their websites, ensuring a smooth experience throughout.

Key Features for DataLang

Custom Chatbot Creation

DataLang's custom chatbot creation feature allows users to integrate multiple data sources effortlessly. By configuring and training chatbots with their data, users can provide AI-powered interactions, streamlining how organizations process and explore information, making DataLang an invaluable tool for modern businesses.

Multiple Data Source Integration

DataLang excels in integrating various data sources, including PostgreSQL, Notion, and Google Sheets. This flexibility enables users to pull insights from diverse origins, fostering a comprehensive data ecosystem. This key feature ensures users can create chatbots that reflect their entire data landscape, driving better-informed decisions.

Flexible Sharing Options

DataLang offers flexible sharing options, allowing users to distribute their chatbots through public URLs, website embeds, and even the GPT Store. This unique feature enhances visibility and accessibility, enabling broader engagement and showcasing the chatbot's capabilities to both users and audiences effectively.

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