Create an example index, setting the language of "Field2" to French:

The French stopwords "le" and "la" are ignored, resulting in a match:

Store the textual content so that it is returned in the search result:

Setting the field type to "Field2" weights it more heavily when ranking search results, and also returns its value in content objects:

If exact case is important, "IgnoreCase" can be set to False for a field:

Since the case does not match, no results are found:

"CamelCaseMatching" can be disabled for non-word content if desired:

This would match if "CamelCaseMatching" were enabled:

Stemming can be disabled for non-word content:

This would match if stemming were enabled:

The "Weight" of a field can be specified for higher result ranking:

When the match is in the "Keyword" field, the score is multiplied by the "Weight" of 10:

Non-searchable fields cannot be searched but if stored, can be retrieved from the resulting content objects:

Disable stop word deletion for certain fields:

The stop word "or" is only found in those fields:

By default, a match in a longer field has a lower impact on the final score than a match in a shorter field:

This behavior can be disabled by setting "LengthWeighted" to False:

Set "Tokenized" to False to require a verbatim match of a field:

The field needs to be queried explicitly, or it is not matched:

The field is only matched verbatim:

When a field is used for document weighting, setting "BulkRetrievalOptimized" to True can improve the performance: