Jon Bratseth

We see that solution as inferior to using multiple containers, since this provides uniform management of nodes and resource isolation between clusters, so we are unlikely to spend any time...

This isn't supported - you can only set it in a rank profile. If you want to try different values you need to create multiple rank profiles (that all inherit...

It's not clear what you want to achieve, could you amend with a clearer example of what you want than "it can be 2 and for Cats it can be...

Thanks. Regular text matching is on the token (word) level, so while there are features that give you the number of matched occurrences, "catsville" will not be matched by "cat"....

I recommend using the nativeRank feature here - it takes into account the number of matches occurrences as well as proximity, which is important when using gram matching. To be...

Just add "match: gram" to the relevant fields in the schema, and use e.g ``` first-phase { expression: nativeRank } ``` as the ranking expression. No other changes needed but...

Ok, fair enough. This is because the nativeRank formula takes multiple things into consideration, not just the number of occurrences, but also the length of the field, how early the...

Occurrence factors in the length of the field. You can use fieldMatch(Name).absoluteOccurrence, which is 1/100 of the number of occurrences.

Fieldlength here is in number of tokens. Since this is n-gram there are more tokens than words. Same for elementSimilarity I think, if you don't see why after reading the...

Please create a separate one.