Search for	Example	Results
A single word	`cat`	Topics that contain the word "cat". You will also find its grammatical variations, such as "cats".
A phrase. You can specify that the search results contain a specific phrase.	`"cat food"` (quotation marks)	Topics that contain the literal phrase "cat food" and all its grammatical variations. Without the quotation marks, the query is equivalent to specifying an OR operator, which finds topics with one of the individual words instead of the phrase.

Search for	Operator	Example
Two or more words in the same topic	`AND` `and` `+` (plus symbol) `&` (ampersand)	`cat AND dog` `"cat food"+milk` `"cat food"&"dog food"`
Either word in a topic	`OR` `or` `\|` (pipe)	`cat OR dog` `cat \| dog`
Topics that do not contain a specific word or phrase	`NOT` `not` `!` (exclamation point)	`NOT cat` `! dog`
Topics that contain one string and do not contain another	`^` (caret)	`cat ^ mouse`
A combination of search types	`( )` parentheses	`cat + (dog \| mouse)` `cat \| dog + (! mouse)`

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Use > Knowledge Management > Knowledge Management overview > Adaptive learning > Searching with adaptive learning

Searching with adaptive learning

When adaptive learning is enabled, data about the queries that returned documents that were used for solving issues is stored and integrated into the documents when they are indexed. This allows the scope of the search to grow beyond the actual content of the document itself. Adaptive learning is only available for searches of sclib-type knowledgebases.

Searching is enhanced by adaptive learning as follows:

Adding additional words from the saved queries to the content of the document means that additional hits on the document occur when these words are supplied in a new query.
The words and phrases collected by adaptive learning can be further weighted to increase the relevancy value of a particular document, which means some documents are found more frequently and appear higher on the hitlist.

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