I use spring 2.2.4.RELEASE and spring-data-elasticsearch 3.2.4.RELEASE

My elastic version is 7.10. I already have lot of index and data in it.

I just notice after once year that the search is not searching case insensitive.

MultiMatchQueryBuilder qb =  QueryBuilders.multiMatchQuery(criteria)
                .field("displayName")
                .field("authorName")
                .field("description")
                .field("shortDescription")
                .field("tag")
                .field("translatedMetadataList")
                .field("name")
                .field("packageName")
                .type(MultiMatchQueryBuilder.Type.PHRASE_PREFIX);


        // we initialise the native search
        NativeSearchQueryBuilder nativeSearch  = new NativeSearchQueryBuilder()
                .withQuery(qb)
                .withPageable(PageRequest.of(page, size));

        // if the category is set, we return only this category
        if(categoryName.isPresent()) {
            nativeSearch .withQuery(QueryBuilders.matchQuery(CATEGORY_NAME, categoryName.get()));
        }

        // convert native to search
        SearchQuery searchQuery =  nativeSearch.build();
        Page<Game> gameList = gameRepo.search(searchQuery);

my index looks like this

    "mappings" : {
      "properties" : {
        "category" : {
          "type" : "nested",
          "include_in_parent" : true,
          "properties" : {
            "description" : {
              "type" : "text",
              "fields" : {
                "keyword" : {
                  "type" : "keyword",
                  "ignore_above" : 256
                }
              }
            },
            "id" : {
              "type" : "long"
            },
            "name" : {
              "type" : "text",
              "fields" : {
                "keyword" : {
                  "type" : "keyword",
                  "ignore_above" : 256
                }
              }
            }
          }
        },...```



how could I do to search case insensitive ? 

Thank you.