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[#74339] 17.4 Search improvements https://community.openproject.org/… (#22996)
* [#74339] 17.4 Search improvements https://community.openproject.org/wp/74339 [#74339] 17.4 Search improvements https://community.openproject.org/wp/74339 * [#74339] 17.4 Search improvements https://community.openproject.org/wp/74339 [#74339] 17.4 Search improvements https://community.openproject.org/wp/74339 * [#74339] 17.4 Search improvements https://community.openproject.org/wp/74339 [#74339] 17.4 Search improvements https://community.openproject.org/wp/74339 * Apply suggestions from code review Co-authored-by: Maya Berdygylyjova <MayaBerd@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Maya Berdygylyjova <MayaBerd@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Maya Berdygylyjova <MayaBerd@users.noreply.github.com> --------- Co-authored-by: Maya Berdygylyjova <MayaBerd@users.noreply.github.com>
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@@ -45,6 +45,26 @@ You can now view search results from different categories or sections of OpenPro
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> It is not possible to find content from archived projects. You will have to un-archive them first on the [global projects overview page](../projects/project-lists/).
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## Partial-text search
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The OpenProject search bar is also configured to support partial-text search. Simply type part of a word, and the system will display matching items.
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For example: Entering **"roto"** will return results such as **prototyping**, **prototype**
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This feature is especially helpful if you do not remember the exact name of a work package or are unsure of the exact spelling.
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## Multi-term text search
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You can also search using multiple space-separated terms to narrow down results.
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For example: Entering **"de roto"** will match **Design prototyping**.
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When you type more than one text, the search will only show results where **all entered terms** appear somewhere in the project or workspace name. This helps you find items faster, even if you only remember parts of the name.
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## Full-text search
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The OpenProject search bar is configured for full-text search. This means you can search not only headings but also content such as wiki pages or work package descriptions and attachments.
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