DRUID v9.14 (Latest)

Deployment Dates

The table below lists the deployment date of DRUID v9.14 across DRUID Clouds. To view the DRUID Releases Calendar, see Druid Releases.

Druid Cloud Community

*.community.Druidplatform.com

Druid Cloud US

*.us.Druidplatform.com

Druid Cloud Australia

*au.Druidplatform.com

Druid Cloud West-Europe (PROD)

*.Druidplatform.com
January 15, 2025 February 12, 2026 February 12, 2026 February 12, 2026

These release notes give you a brief, high-level description of the improvements implemented to existing features.

If you have questions about your Druid tenant, please contact support@Druidai.com or your local Druid partner for more information.

Recommended! This release includes features and bug fixes that require upgrade of your Druid Connector Host:
  • Druid Connector Host – List Files Task Enhancements

What's New

  • Druid Connector Host – List Files Task Enhancements. This release introduces powerful improvements to the List Files task in the Druid Connector Host, providing greater control and flexibility for file-based workflow automation in hybrid and on-premises deployments. The enhanced List Files task includes:
    • Expansion level. Control directory traversal depth to list files from the target directory only or include subdirectories at specified levels, enabling more precise file discovery across complex directory structures.
    • Filtering. Apply filters to retrieve only files that match specific criteria, reducing the need for post-processing.
    • Sorting. Sort file list by specific attributes, making it easier to identify and process files in a predictable order.
    • Pagination. Handle large directory listings efficiently by retrieving files in manageable batches, improving performance and resource utilization when working with directories containing numerous files.

      • For more information, see List Files with the Druid Connector Host.

Bug Fixes

  • Knowledge Base Schedule fix: Resolved an issue where a Scheduler set up on a data source would halt completely if the Extract task encountered an error. Previously, if a document failed during extraction, the subsequent Train task would not initiate. The system now ensures that Knowledge Base training is handled correctly following scheduled execution attempts.