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Currently, with NLQ enabled, Tantivy treats "伊文斯隐瞒秘密" as a PhraseQuery, which is its default behavior. We need to refine this for Chinese. Here's a possible modification method:
query = "(Who is Obama?) OR TS\"伊文斯隐瞒秘密\""
By using "TS" to mark a subquery, the NLQ parser will generate a TermSetQuery for TS"伊文斯隐瞒秘密".
The text was updated successfully, but these errors were encountered:
Currently, with NLQ enabled, Tantivy treats
"伊文斯隐瞒秘密"
as aPhraseQuery
, which is its default behavior. We need to refine this for Chinese. Here's a possible modification method:query = "(Who is Obama?) OR TS\"伊文斯隐瞒秘密\""
By using "TS" to mark a subquery, the NLQ parser will generate a
TermSetQuery
forTS"伊文斯隐瞒秘密"
.The text was updated successfully, but these errors were encountered: