# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
#, fuzzy
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msgstr ""
"Project-Id-Version: Xinference\n"
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"POT-Creation-Date: 2023-12-25 17:11+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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#: ../../source/examples/langchain_streamlit_doc_chat.rst:5
msgid "Example: LangChain Streamlit Doc Chat📄"
msgstr "예시: LangChain Streamlit 문서 채팅 📄"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:7
msgid "**Description**:"
msgstr "**설명**:"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:9
msgid ""
"This Streamlit-based application demonstrates a AI chatbot powered by local "
"LLM and embedding models"
msgstr "이 Streamlit 기반 애플리케이션은 로컬 LLM 및 임베딩 모델로 구동되는 AI 챗봇을 시연합니다."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:11
msgid "**Used Technology**:"
msgstr "**관련 기술**:"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:13
msgid ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_: as the LLM and "
"embedding model hosting service"
msgstr ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_: LLM 및 embedding 모델"
" 호스팅 서비스"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:15
msgid ""
"@ `LangChain <https://github.com/run-llama/llama_index>`_: orchestrates the "
"entire document processing and query answering pipeline"
msgstr ""
"@ `LangChain <https://github.com/run-llama/llama_index>`_：전체 문서 처리 및 질의 응답 "
"파이프라인을 오케스트레이션합니다."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:17
msgid "@ `Streamlit <https://streamlit.io/>`_: for interactive user interface"
msgstr "@ `Streamlit <https://streamlit.io/>`_：대화형 사용자 인터페이스에 사용됨"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:19
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**데모 기능에 대한 상세 설명**:"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:21
msgid "Streamlit UI for uploading text files, enhancing user interaction."
msgstr "Streamlit 사용자 인터페이스, 텍스트 파일 업로드 지원, 사용자 상호작용 향상."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:23
msgid ""
"Texts are split into chunks and embedded using Xinference for efficient "
"processing."
msgstr "텍스트가 청크로 분할되고, Xinference를 사용하여 embed 작업을 수행함으로써 효율적인 처리를 실현합니다."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:25
msgid ""
"Executes similarity searches on embedded texts to pinpoint relevant sections"
" for user queries."
msgstr "임베딩된 텍스트에 대해 유사성 검색을 수행하여 사용자 쿼리의 관련 부분을 정확히 식별합니다."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:27
msgid "Utilizes a structured prompt template for focused LLM interactions."
msgstr "구조화된 프롬프트 템플릿을 사용하여 LLM 모델과 상호작용합니다."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:29
msgid ""
"Xinference's LLM processes queries within the context of relevant document "
"parts, providing accurate responses."
msgstr "Xinference의 LLM은 관련 문서 부분의 맥락에서 쿼리를 처리하여 정확한 응답을 제공합니다."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:31
msgid ""
"The system facilitates effective and context-sensitive document exploration,"
" aiding users in information retrieval."
msgstr "이 시스템은 효과적이고 맥락에 민감한 문서 검색을 구현하여 사용자가 효율적으로 정보를 검색할 수 있도록 지원합니다."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:33
msgid "**Source Code** :"
msgstr "**소스 코드**"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:34
msgid ""
"`LangChain Streamlit Doc Chat "
"<https://github.com/xorbitsai/inference/blob/main/examples/LangChain_Streamlit_Doc_Chat.py>`_"
msgstr ""
