This documentation is still in progress. We are working hard to update all our screenshots to the new Magnolia 6 style. Please bear with us.
Extend your search capabilities:
- Search smarter – Add our Result Ranker module (EE Pro) to the Find Bar to get better and better search results as our AI-powered system learns from behavior and preferences on your Magnolia instance.
- Search images – Add our Image Recognition module (EE Pro) to the Find Bar to automatically tag images with content tags that can then be searched using the Find Bar.
Powerful full-text search
Magnolia's Find Bar enables you to search across all your content in Magnolia. The search covers all Magnolia and custom content apps, assets and pages. Developers can also integrate external datasets using the API.
Click in the Find Bar and Magnolia starts showing you results, adapting in real-time to help you find what you're looking for. Results are pre-sorted by app and type of content such as app, page, story, asset or tour.
You can use the Find Bar to search not only through all your Magnolia-based content but also through content stored in external data sources. To do so, developers can build your own custom search result suppliers extending the Find Bar's capabilities using a purpose-built API. The API facilitates integration with any outside source such as assets stored on Flickr or your client data in a CRM application.
A sample REST integration illustrates how to connect this documentation set.
Multiple parallel filters enable you to find exactly what you're looking for fast. Use the dropdown filters to quickly drill down into your search results and retrieve specific content without scrolling through dozens of results.
You can easily remove or refine the filter by type, tags (EE Pro), latest editor or the date the content was last edited.
The Type filter lists all the types of content that have been configured to be searched. By default this includes all JCR-based content apps. External data sources can also be configured.
In the Tags filter, you can search through all the tags applied to your content in Magnolia. If you use the Magnolia Image Recognition module, all the automatically generated tags applied to your assets are available here.
If you start searching when you have an app open, Magnolia automatically filters results based on the current app so you get relevant results straight away.
The search results the Find Bar returns are pertinent for each user. Admins can refine your search results upstream based on your user role in Magnolia.
If you don't have access to the Assets app, for example, you won't want nor get results from that app.
Boost your search results using our Result Ranker module (EE Pro) with the Find Bar.
This neural network-based AI engine brings the power of deep-learning to your search results. The more you search, the more Magnolia learns what you need and the better your search results get.
Magnolia makes suggestions and ranks all search results based on what it has learned from the previous search patterns and preferences of all users on a given Magnolia instance.
Intelligent image recognition
Search beyond text with the help of the Magnolia Image Recognition module.
The image recognition module analyzes your assets and automatically tags them using content tags. The tags populate the Tags filter in the Find Bar and mean that your visual data is searchable without requiring any time-consuming human intervention.
For example, an image automatically tagged as "Lion" will be returned as a result if you search for "Lion" in the Find Bar, even if the image's file name and metadata does not contain the word lion.
Talk to Magnolia
The convenient speech recognition functionality means you can now talk to Magnolia to search and open your content. The Find Bar understands simple vocal commands such as "open". Click on the microphone icon in the Find Bar and talk to Magnolia. Your voice data is transcribed, displayed in the Find Bar search field and processed.
Try telling Magnolia to "open pages app" or "find Vietnam tour" in our Travel demo instance to see how it works (log in as
Check which browsers are supported by the Web Speech API here. At the time of publication, only Google Chrome was supported.