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(DOCSP-50244) Updates to the GenAI FAQ (#241)
* (DOCSP-50244) Updates to the GenAI FAQ * Fix one link * Updates per most recent round of reviews from Caroline, added a link to the chatbot docs page * Copy review
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source/ai-chatbot-data-usage.txt

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.. _ai-chatbot-data-usage-ref:
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:hidefeedback: page
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:orphan:
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:description: Learn how the MongoDB AI Chatbot uses your data.
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The MongoDB AI Chatbot is an AI assistant that is able to answer
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questions about MongoDBs products and services, troubleshoot issues,
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questions about MongoDB's products and services, troubleshoot issues,
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generate code, and offer advice on how to build your application. The
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chatbot is powered by Generative AI and may give inaccurate responses.
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See our :doc:`Generative AI FAQ <generative-ai-faq>` for more
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information.
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The chatbot is available within MongoDB Documentation and across various
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other MongoDB properties. Its also available to use in AI tools from
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other MongoDB properties. It's also available to use in AI tools from
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third parties that partner with MongoDB.
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How Your Data is Used

source/generative-ai-faq.txt

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Generative AI FAQs
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==================
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Last Updated: 4 June, 2025
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.. meta::
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:description: Explore generative AI features in MongoDB, including query generation and visualization, powered by Azure OpenAI and Github Copilot.
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What GenAI Features Does MongoDB Currently Offer?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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MongoDB offers various generative AI (GenAI) capabilities in its
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products and services, including within Atlas and in its software
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products.
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MongoDB offers various generative AI (GenAI) capabilities in its products
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and services, including within Atlas and in its software products.
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For example, in MongoDB Compass and Charts, Atlas users can
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leverage natural language to generate queries or visualizations. With
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MongoDB Relational Migrator, GenAI can be leveraged for query
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conversions. And within MongoDB for VS Code, the MongoDB Github Copilot
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participant allows developers to generate MongoDB-related code more
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efficiently through Github Copilot Chat.
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For example, in MongoDB `Compass <https://dochub.mongodb.org/core/compass-ai-data-usage>`__
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and `Charts <https://dochub.mongodb.org/core/charts-ai-data-usage>`__,
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Atlas users can leverage natural language to generate queries or visualizations.
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With MongoDB `Relational Migrator <https://dochub.mongodb.org/core/migrator-ai-data-usage>`__,
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GenAI can be leveraged to convert application code and database objects.
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With MongoDB for VS Code, the `MongoDB Extension for Github Copilot <https://www.mongodb.com/docs/mongodb-vscode/copilot/>`__
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participant allows developers to generate MongoDB-related code more efficiently through
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Github Copilot Chat.
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We also offer a GenAI chatbot within our MongoDB Documentation.
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We also offer a GenAAI Chatbot within our `MongoDB Documentation <https://www.mongodb.com/docs/>`__
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and across various other MongoDB properties. For more information, refer
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to our :ref:`MongoDB AI Chatbot <ai-chatbot-data-usage-ref>` Documentation..
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What Services Do These GenAI Features Rely On?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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MongoDB's current GenAI features are powered by `Azure OpenAI
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<https://azure.microsoft.com/en-us/products/ai-services/openai-service>`__,
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except that the participant within MongoDB for VS Code is powered by
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Github Copilot. When you use these features, your data is processed in
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Microsoft Azure using the Azure OpenAI service or by the Github Copilot
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service.
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with the exception of the participant within MongoDB for VS Code, which
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is powered by Github Copilot. When you use these features, your data is
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processed in Microsoft Azure's OpenAI service or Github Copilot.
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**No data processed by these services is used to train those third-party models.**
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Data processed in these services is not used for any model training.
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MongoDB has opted out of asynchronous `Abuse Monitoring
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<https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/abuse-monitoring>`__
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so that no prompts or responses are stored with Azure OpenAI. For more
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detail, refer to `Azure OpenAI's data management practices
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<https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/abuse-monitoring>`__,
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meaning no prompts or responses are stored with Azure OpenAI. For more
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details, refer to `Azure OpenAI's data management practices
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<https://learn.microsoft.com/en-us/legal/cognitive-services/openai/data-privacy>`__.
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For information about how Github Copilot processes data, please refer to
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the `Github Trust Center <https://copilot.github.trust.page>`__.
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For information about how Github Copilot processes data,
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please refer to the `Github Trust Center <https://copilot.github.trust.page>`__.
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What Data Is Sent To The Model?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Each MongoDB tool backed by GenAI sends the minimal required
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information to produce the best possible answer. To learn more
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about what each tool sends, please consult our documentation:
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Each MongoDB tool backed by GenAI sends only the minimal required information
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to produce the best possible answer. For more specifics about the data
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transferred by each tool, please refer to our Documentation:
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- `Compass <https://dochub.mongodb.org/core/compass-ai-data-usage>`__
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- `Atlas Charts <https://dochub.mongodb.org/core/charts-ai-data-usage>`__
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- `Relational Migrator <https://dochub.mongodb.org/core/migrator-ai-data-usage>`__
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- `MongoDB for VSCode <https://www.mongodb.com/docs/mongodb-vscode/ai-data-usage/>`__
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Are Outputs from my Use of MongoDB GenAI Features Used to Train Models?
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Are My Inputs or Outputs from my Use of MongoDB GenAI Features Used to Train Models?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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No. The data input and output from MongoDB's GenAI features is not used
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to train the third-party models that power those features.
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Does MongoDB Store My Inputs or Outputs from My Use of GenAI Features?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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No.
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MongoDB may temporarily store inputs and outputs generated by the GenAI
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features for up to one year for troubleshooting, analytics, and feature
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improvement. MongoDB will not share those inputs and outputs with any
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third-party.
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How Can I Disable MongoDB's GenAI Features?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Does MongoDB Store my Inputs or their Corresponding Outputs to GenAI Features?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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GenAI features within MongoDB's products and services are **optional**.
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While they are enabled by default in Atlas for your convenience,
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you have the ability to disable them at any time.
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MongoDB may store inputs and outputs from the GenAI service for a
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limited time period (up to one year) for troubleshooting, analytics, and
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feature improvement.
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For any GenAI capabilities offered in our on-premise software
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(Relational Migrator and Compass) you may opt out, in which case
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MongoDB will not store your inputs or outputs.
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Please consult our `Atlas Organization Settings <https://www.mongodb.com/docs/atlas/tutorial/manage-organization-settings/#disable-generative-ai-features>`__
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Documentation for information on how Organization Owners can disable
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Atlas GenAI features in Atlas at the organization level.
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When Atlas GenAI features are enabled at the organization level, individual
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Project Owners can still enable or disable individual AI features at the
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project level. To learn more about Atlas Project Settings for GenAI features,
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please consult the Documentation for each Atlas feature:
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- `Data Explorer <https://www.mongodb.com/docs/atlas/atlas-ui/>`__
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- `Atlas Charts <https://dochub.mongodb.org/core/charts-ai-data-usage>`__
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GenAI capabilities offered in our on-premise Relational Migrator and Compass
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software can be disabled from within that product:
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- `Relational Migrator <https://dochub.mongodb.org/core/migrator-ai-data-usage>`__
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- `MongoDB Compass <https://dochub.mongodb.org/core/compass-ai-data-usage>`__
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What Agreements Govern My Use of MongoDB's GenAI Features?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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agreement, our
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`Acceptable Use Policy <https://www.mongodb.com/legal/acceptable-use-policy>`_ and
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our `Privacy Policy <https://www.mongodb.com/legal/privacy/privacy-policy>`__.
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What About Voyage AI Embedding and Reranking Models?
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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We recently acquired Voyage AI, which offers AI embedding and reranking models.
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For more details on how these models work and what data they use, please
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refer to the `Voyage AI FAQ <https://docs.voyageai.com/docs/faq>`__
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and the `Voyage Terms of Service <https://www.voyageai.com/tos>`__.

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