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Generative AI FAQs

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MongoDB offers various generative AI (GenAI) capabilities in its products and services, including within Atlas and in its software products.

For example, in MongoDB Compass and Charts, Atlas users can leverage natural language to generate queries or visualizations. With MongoDB Relational Migrator, GenAI can be leveraged for query conversions. And within MongoDB for VS Code, the MongoDB Github Copilot participant allows developers to generate MongoDB-related code more efficiently through Github Copilot Chat.

We also offer a GenAI chatbot within our MongoDB Documentation.

MongoDB's current GenAI features are powered by Azure OpenAI, except that the participant within MongoDB for VS Code is powered by Github Copilot. When you use these features, your data is processed in Microsoft Azure using the Azure OpenAI service or by the Github Copilot service.

Data processed in these services is not used for any model training. MongoDB has opted out of asynchronous Abuse Monitoring so that no prompts or responses are stored with Azure OpenAI. For more detail, refer to Azure OpenAI's data management practices. For information about how Github Copilot processes data, please refer to the Github Trust Center.

Each MongoDB tool backed by GenAI sends the minimal required information to produce the best possible answer. To learn more about what each tool sends, please consult our documentation:

No.

MongoDB may store inputs and outputs from the GenAI service for a limited time period (up to one year) for troubleshooting, analytics, and feature improvement. For any GenAI capabilities offered in our on-premise software (Relational Migrator and Compass) you may opt out, in which case MongoDB will not store your inputs or outputs.

Your use of these features is subject to your applicable MongoDB legal agreement, our Acceptable Use Policy and our Privacy Policy.