train-autocomplete-v2
step in your record pipeline to enable query training from record fields.train-autocomplete
step in the Relevance Adjustmentsq
(the search query the user entered) if it meets the following criteria:autocomplete
step in the query pipeline. Using this step, you can configure how training sources are weighted when returning the order of autocomplete suggestions. For example, you may want to weight phrases from user queries to be more important than a field in your collection.skip-search
step in the pipeline that uses the autocomplete
step.q
, setting the query suggestions to q.suggestions
and skips a search.const:labelWeights
. The labels are assigned in the train-autocomplete-v2 step. If empty, all labels are weighted equally.query
) to be twice as important as the record fields brand
and category
.