# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
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#
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#: ../../source/models/model_abilities/rerank.rst:5
msgid "Rerank"
msgstr "리랭킹"

#: ../../source/models/model_abilities/rerank.rst:7
msgid "Learn how to use rerank models in Xinference."
msgstr "Xinference에서 재정렬 모델을 사용하는 방법을 학습합니다."

#: ../../source/models/model_abilities/rerank.rst:11
msgid "Introduction"
msgstr "소개"

#: ../../source/models/model_abilities/rerank.rst:13
msgid ""
"Given a query and a list of documents, Rerank indexes the documents from "
"most to least semantically relevant to the query. Rerank models in "
"Xinference can be invoked through the Rerank endpoint to rank a list of "
"documents."
msgstr ""
"주어진 쿼리와 일련의 문서가 있을 때, Rerank는 쿼리와의 의미적 관련성에 따라 문서를 가장 관련성 높은 순에서 낮은 순으로 "
"재정렬합니다. Xinference에서는 Rerank 엔드포인트를 통해 Rerank 모델을 호출하여 일련의 문서를 정렬할 수 있습니다."

#: ../../source/models/model_abilities/rerank.rst:18
msgid "Quickstart"
msgstr "빠른 시작"

#: ../../source/models/model_abilities/rerank.rst:20
msgid ""
"We can try Rerank API out either via cURL, OpenAI Client, or Xinference's "
"python client:"
msgstr "cURL, OpenAI Client 또는 Xinference를 통해 Rerank API를 사용해 볼 수 있습니다:"
