Best practice for N-gram and set Lucene param with Clouseau

CouchDB/Clouseau indexing allows analyzers but what about n-gram tokenization? What is the best practive for n-grams? Should we use an algorithm to do n-grams within the index javascript function? Or can we take advantage of Lucene n-gram function?

Also how can we set Lucene parameters such as allowing leading wildcard (https://lucene.apache.org/core/4_0_0/queryparser/org/apache/lucene/queryparser/classic/QueryParserBase.html#setAllowLeadingWildcard(boolean))?

The issue concerns CouchDB/Clouseau indexing, analyzers, JavaScript index functions, and Lucene QueryParserBase settings. Start by tracing how n-gram tokenization and query-parser parameters are exposed, then document the supported approach and verify that the resulting guidance covers both n-grams and leading-wildcard configuration.

Written by the indexing model from the issue text.