DataLang
Overview of DataLang
DataLang: Build Custom Chatbots from Your Data
What is DataLang?
DataLang is a platform that allows you to create custom chatbots from various data sources such as Postgres databases, websites, Google Sheets, Notion, files, and more. It simplifies the process of connecting to multiple data sources, configuring a chatbot, and sharing it via a public URL, embedding it in your website, or deploying it to the ChatGPT Store.
How does DataLang work?
DataLang streamlines the process of creating data-driven chatbots into four simple steps:
- Set up your Data Source: Configure connections to your databases, files, or other data sources.
- Add a Data View: Expose data from a specific source for the chatbot to access.
- Chat with your data: Select the data sources to train the GPT model.
- Share it!: Distribute your chatbot via a public URL, embed it on your website, or publish it to the GPT Store.
Key Features and Benefits
- Multiple Data Source Integration: Connect to various data sources including SQL databases (PostgreSQL, MySQL, SQL Server, MariaDB, Oracle, Amazon Redshift, Snowflake, SQLite), files, Google Sheets, Notion, and more.
- Easy Chatbot Sharing: Share your chatbot through multiple channels like a public URL, a chatbot widget for embedding on your website, or publishing it to the GPT Store.
- GPT Store Integration: Easily configure and publish your chatbot as a GPT in the ChatGPT Store, expanding its reach to a broader audience.
Use Cases
- Customer Support: Create a chatbot that answers customer queries using data from your knowledge base, FAQs, and support documentation.
- Internal Knowledge Sharing: Build a chatbot that helps employees quickly find information within your company's databases, documents, and internal wikis.
- Data Analysis: Allow users to query and explore data from your databases using natural language, making data insights more accessible.
Pricing
DataLang offers a range of pricing plans to suit different needs:
- Free: $0/month, 1 user, 1 data source, 100 credits
- Basic: $19/month, 2 users, 10 data sources, 1,000 credits/month
- Pro: $49/month, 6 users, 50 data sources, 3,000 credits/month
- Business: $399/month, 12 users, 1,000 data sources, 20,000 credits/month
All paid plans include a chatbot widget and the option to remove DataLang branding. Higher-tier plans also offer priority support.
DataLang in Action
DataLang is being used to power chatbots in various industries. One popular use case is publishing a custom GPT to the GPT Store, allowing users or customers to interact with a data-driven chatbot directly within the ChatGPT interface.
Conclusion
DataLang simplifies the creation and deployment of custom chatbots from diverse data sources. Whether you need a chatbot for customer support, internal knowledge sharing, or data analysis, DataLang provides the tools and flexibility to build the perfect solution. With its ease of use and integration with the GPT Store, DataLang is a powerful platform for unlocking the potential of your data.
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