DataLang: Building Custom Chatbots from Diverse Data Sources

DataLang is a powerful AI tool designed to help users create custom chatbots by integrating data from various sources such as SQL, Files, HTML, Notion, Google Sheets, and more. Ideal for professionals and teams looking to streamline data interaction, DataLang simplifies the process of transforming complex data into conversational interfaces. With a straightforward four-step workflow—setting up data sources, adding a data view, chatting with data, and sharing the chatbot—DataLang makes AI-powered data access accessible to all. Its flexibility in sharing options, including public URLs, website embeddings, GPT Store publication, and API access, ensures broad usability across industries.

Key Features:

• Multi-Source Data Integration: Supports SQL, Files, HTML, Notion, Google Sheets, and additional data formats.
• Simple Four-Step Workflow: Streamlines the process of creating and sharing chatbots.
• Flexible Sharing Options: Chatbots can be shared via public URL, embedded on websites, published to the GPT Store, or accessed via API.
• Scalable Pricing Plans: Offers Free, Basic, Pro, and Business tiers to accommodate different user needs.

Pricing:

DataLang provides a Free tier alongside paid plans (Basic, Pro, Business) for advanced features and support.

Conclusion:

DataLang is an innovative solution for turning diverse data sources into interactive chatbots, empowering users to enhance data accessibility and efficiency with minimal technical overhead.