DataLang: Build Custom Chatbots from Your Data - Easy Integration & Sharing
DataLang: Build Custom Chatbots from Your Data - Easy Integration & Sharing
DataLang

DataLang: Build custom chatbots from your data (SQL, files, etc.) and share them via URL, website embedding, or the ChatGPT Store. Simple, powerful, and versatile.

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DataLang: Custom Chatbots from Your Data

DataLang empowers you to build custom chatbots directly from your data. Connect to various sources, configure your chatbot, and share it via a public URL, website embedding, or the ChatGPT Store. This comprehensive guide explores DataLang's features, pricing, and use cases.

Key Features

  • Multi-Source Connectivity: Integrate with SQL databases (PostgreSQL, MySQL, SQL Server, Snowflake, etc.), files (CSV, JSON, etc.), HTML, Notion, Google Sheets, and more.
  • Customizable Chatbots: Design chatbots tailored to your specific needs and data.
  • Easy Sharing: Share your chatbot using a public URL, embed it on your website, or publish it to the ChatGPT Store.
  • Intuitive Interface: A user-friendly interface simplifies the chatbot creation process.
  • Data Views: Expose specific data from your sources for targeted chatbot interactions.
  • API Access: Interact with your chatbot programmatically via API.

How DataLang Works

Creating a chatbot with DataLang involves four simple steps:

  1. Set up your Data Source: Connect to your chosen data sources.
  2. Add a Data View: Define the specific data your chatbot will use.
  3. Chat with your Data: Train your GPT model on the selected data sources.
  4. Share it!: Deploy your chatbot via a public URL, website widget, or the GPT Store.

Pricing

DataLang offers various pricing plans to suit different needs:

PlanPrice (USD/month)UsersData SourcesCredits/monthChatbot WidgetSupport
Free$011100YesNo
Basic$192101,000YesNo
Pro (Recommended)$496503,000YesBasic
Business$399121,00020,000YesPriority

DataLang in Action

DataLang is suitable for various applications, including customer support, internal knowledge bases, and data exploration. Its versatility makes it a powerful tool for organizations of all sizes.

Comparisons

Compared to other chatbot platforms, DataLang stands out due to its ease of use, multi-source connectivity, and flexible sharing options. While other platforms may offer more advanced features, DataLang excels in its simplicity and direct integration with diverse data sources.

Conclusion

DataLang provides a user-friendly and powerful way to create custom chatbots from your data. Its intuitive interface, flexible sharing options, and various pricing plans make it an excellent choice for individuals and businesses alike.

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