Thank you for your answer.
I agree, I can manage predictable values through synonyms.
However most data in this index are company and product names, leading
sometimes to rather strange syntax (mix of upper/lower case, misplaced dash
or spaces). One purpose to using solr was to help in finding potential
duplicates before data insertion.
On another hand I could write a custom tokenizer/filter and a custom query
builder that would test many combinations. I have the feeling however it is
an inefficient approach.
That is...
Indexing : "chelsea soccer club" =>
"chelsea","soccer","club",chelseasoccer","soccerclub","chelseasoccerclub"
Searching : "chelsea soccerclub" => "chelsea" and "soccerclub" or
"chelseasoccerclub"
While search expressions are generally short, indexation will be a
nightmare...
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