DataLang

DataLang lets you build chatbots from a variety of data sources, including SQL databases, files, Google Sheets, Notion and websites. The tool combines multiple data sources, sets up the chatbot and shares it with a public URL, embeds it in a website or releases it to the ChatGPT Store.

DataLang supports a variety of data sources, including Files, PostgreSQL, Google Sheets, Notion, Websites, HubSpot, MySQL, ODBC, Snowflake, APIs, SQL Server, MariaDB, Oracle, Amazon Redshift and SQLite.

After you set up your data source, you can add a data view to expose the specific data you want to interact with. Then you can pick the data sources you want to use to train a GPT model. Then you can share your chatbot through a variety of methods, including a public URL, embeddable widget, GPT Store or API.

DataLang has several pricing tiers:

• Trial: $0/month, 1 user, 1 data source, 1 data view, 10 credits, with a chatbot widget and no support.
• Starter: $19/month, 1 user, 1 data source, 10 data views, 500 credits/month, with a chatbot widget and no support.
• Pro: $49/month, 5 users, 10 data sources, 50 data views, 2,000 credits/month, with a chatbot widget and basic support.
• Business: $399/month, 10 users, 50 data sources, 1,000 data views, 10,000 credits/month, with a chatbot widget and priority support.

For self-hosted deployments, pricing starts at $20,000 per year, with unlimited users, data sources and data views. DataLang is geared for companies, but it can be used by organizations of any size, as a way to let people create and manage chatbots from a variety of data sources. The main point is to make data insights easier to understand and present through conversational interfaces.

Published on June 13, 2024