Manage model training preferences

Learn how Algolia uses data to improve AI models and how you can manage your organization’s participation.

NeuralSearch’s AI models improve by learning from anonymized, aggregated usage patterns across participating applications. This shared learning helps NeuralSearch better interpret language, understand intent, and surface more relevant results over time—without requiring you to build or maintain custom training pipelines.

By default, all applications in your organization are automatically included in model training. Application owners can change this setting at any time in the dashboard.

Opting out excludes that application’s data from future training cycles. Search continues to function normally, but it won’t receive improvements from shared model updates. You can opt back in at any time.

To manage your organization’s preference for participation:

1. Go to Organization Settings

   1. Go to the Algolia dashboard.
   2. On the left sidebar, select Settings > Organization Settings.
   3. In the General section, click Model Training.
2. Review your applications

   A table lists all applications in your organization and includes filterable details to help you decide whether to participate.

3. Update participation

   You can manage preferences individually or in bulk:

   • Toggle switch. Set training participation for individual applications..
   • Checkboxes. Select multiple applications to apply bulk actions.
   • Select all. Apply changes to every eligible application at once.
   • To confirm your selection, select Opt In Selected or Opt Out Selected.
4. Save changes

   To apply your changes, click Save Settings. To undo any changes before saving, click Discard.

What happens after opting out

• Data from excluded applications won’t be used in future model training runs. Previously trained models remain unchanged.
• You’ll continue receiving NeuralSearch feature updates, but without the incremental model improvements from the shared learning.
• You can re-join model training at any time to regain access to the latest shared model improvements.

See also

To learn more about how Algolia trains language models, and full details on data usage, privacy safeguards, and retention policies, see:

• AI Trust Center
• How Algolia trains language models