# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2015-2025, Artifex
# This file is distributed under the same license as the PyMuPDF package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2025.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: PyMuPDF 1.26.7\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-11-25 23:33+0000\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: ko\n"
"Language-Team: ko <LL@li.org>\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.10.3\n"

#: ../../header.rst:-1 9ae2958084504b3cbf245bd73a2ab2b9
msgid "Artifex"
msgstr "Artifex"

#: ../../header.rst:-1 f48bded6e5a0490fbc182596e6c86f50
msgid ""
"PyMuPDF is a high-performance Python library for data extraction, "
"analysis, conversion & manipulation of PDF (and other) documents."
msgstr "PyMuPDF는 PDF 및 기타 문서의 데이터 추출, 분석, 변환, 조작을 위한 고성능 Python 라이브러리입니다."

#: ../../header.rst:-1 c3968fe2fa604ee2a68fdd576c733553
msgid ""
"PDF Text Extraction, PDF Image Extraction, PDF Conversion, PDF Tables, "
"PDF Splitting, PDF Creation, Pyodide, PyScript"
msgstr "PDF 텍스트 추출, PDF 이미지 추출, PDF 변환, PDF 테이블, PDF 분할, PDF 생성, Pyodide, PyScript"

#: ../../rag.rst:6 d9c164003dda4429a6f39b4abd473e49
msgid "PyMuPDF, LLM & RAG"
msgstr "PyMuPDF, LLM 및 RAG"

#: ../../rag.rst:9 f18a0f62e26e4863b32ba327cc3828fe
msgid ""
"Integrating |PyMuPDF| into your :title:`Large Language Model (LLM)` "
"framework and overall :title:`RAG (Retrieval-Augmented Generation`) "
"solution provides the fastest and most reliable way to deliver document "
"data."
msgstr "|PyMuPDF| 를 :title:`Large Language Model (LLM)` 프레임워크 및 전체 :title:`RAG (Retrieval-Augmented Generation)` 솔루션에 통합하면 문서 데이터를 제공하는 가장 빠르고 신뢰할 수 있는 방법을 제공합니다."

#: ../../rag.rst:11 6e23dfb312db4517ab86e93891470aed
msgid ""
"There are a few well known :title:`LLM` solutions which have their own "
"interfaces with |PyMuPDF| - it is a fast growing area, so please let us "
"know if you discover any more!"
msgstr "|PyMuPDF| 와 자체 인터페이스를 가진 몇 가지 잘 알려진 :title:`LLM` 솔루션이 있습니다. 빠르게 성장하는 분야이므로 더 발견하시면 알려주세요!"

#: ../../rag.rst:13 8de65ced808e469d9fac7bd41abaf9cf
msgid ""
"If you need to export to :title:`Markdown` or obtain a "
":title:`LlamaIndex` Document from a file:"
msgstr ":title:`Markdown` 으로 내보내거나 파일에서 :title:`LlamaIndex` 문서를 얻어야 하는 경우:"

#: ../../rag.rst:31 0e6f773ad0c846eb81ad529f37c724ce
msgid "Integration with :title:`LangChain`"
msgstr ":title:`LangChain` 과의 통합"

#: ../../rag.rst:33 617c7d9b690c427cb4d5f385dbaea902
msgid ""
"It is simple to integrate directly with :title:`LangChain` by using their"
" dedicated loader as follows:"
msgstr "다음과 같이 전용 로더를 사용하여 :title:`LangChain` 과 직접 통합하는 것은 간단합니다:"

#: ../../rag.rst:43 2b8a08a537ff4f0c9d20ccd117cca1c7
msgid ""
"See `LangChain Using PyMuPDF "
"<https://python.langchain.com/docs/modules/data_connection/document_loaders/pdf"
"/#using-pymupdf>`_ for full details."
msgstr "자세한 내용은 `LangChain Using PyMuPDF <https://python.langchain.com/docs/modules/data_connection/document_loaders/pdf/#using-pymupdf>`_ 를 참조하세요."

#: ../../rag.rst:47 882dd97452644713ade70ec5d297ac45
msgid "Integration with :title:`LlamaIndex`"
msgstr ":title:`LlamaIndex` 와의 통합"

#: ../../rag.rst:50 0a3eaf04eb9c4726a40af71757d7454d
msgid ""
"Use the dedicated `PyMuPDFReader` from :title:`LlamaIndex` 🦙 to manage "
"your document loading."
msgstr ":title:`LlamaIndex` 🦙 의 전용 `PyMuPDFReader` 를 사용하여 문서 로딩을 관리하세요."

#: ../../rag.rst:58 49e6d30976b047949da389fa02a61f6d
msgid ""
"See `Building RAG from Scratch "
"<https://docs.llamaindex.ai/en/stable/examples/low_level/oss_ingestion_retrieval>`_"
" for more."
msgstr "자세한 내용은 `Building RAG from Scratch <https://docs.llamaindex.ai/en/stable/examples/low_level/oss_ingestion_retrieval>`_ 를 참조하세요."

#: ../../rag.rst:62 a966faf5a5914f53816c15fa2dc9cf18
msgid "Preparing Data for Chunking"
msgstr "청킹을 위한 데이터 준비"

#: ../../rag.rst:64 c943a32cc39448f396304fd518f9a003
msgid ""
"Chunking (or splitting) data is essential to give context to your "
":title:`LLM` data and with :title:`Markdown` output now supported by "
"|PyMuPDF| this means that `Level 3 chunking "
"<https://medium.com/@anuragmishra_27746/five-levels-of-chunking-"
"strategies-in-rag-notes-from-gregs-video-7b735895694d#b123>`_ is "
"supported."
msgstr "데이터 청킹(또는 분할)은 :title:`LLM` 데이터에 컨텍스트를 제공하는 데 필수적이며, |PyMuPDF| 가 이제 :title:`Markdown` 출력을 지원하므로 `Level 3 chunking <https://medium.com/@anuragmishra_27746/five-levels-of-chunking-strategies-in-rag-notes-from-gregs-video-7b735895694d#b123>`_ 이 지원됨을 의미합니다."

#: ../../rag.rst:71 c1d64297cf6740508697a6569cd86382
msgid "Outputting as :title:`Markdown`"
msgstr ":title:`Markdown` 으로 출력"

#: ../../rag.rst:73 39636d4fa0cf42edb1f1e408555643f2
msgid ""
"In order to export your document in :title:`Markdown` format you will "
"need a separate helper. Package :doc:`pymupdf4llm/index` is a high-level "
"wrapper of |PyMuPDF| functions which for each page outputs standard and "
"table text in an integrated Markdown-formatted string across all document"
" pages:"
msgstr ":title:`Markdown` 형식으로 문서를 내보내려면 별도의 헬퍼가 필요합니다. 패키지 :doc:`pymupdf4llm/index` 는 |PyMuPDF| 함수의 고수준 래퍼로, 각 페이지에 대해 모든 문서 페이지에 걸쳐 통합된 Markdown 형식 문자열로 표준 텍스트와 테이블 텍스트를 출력합니다:"

#: ../../rag.rst:87 ab3bd85d9da04f3288b59385ab304c9a
msgid "For further information please refer to: :doc:`pymupdf4llm/index`."
msgstr "자세한 내용은 :doc:`pymupdf4llm/index` 를 참조하세요."

#: ../../rag.rst:91 0e0368f9987d4fd6989fb56fb6001afd
msgid "How to use :title:`Markdown` output"
msgstr ":title:`Markdown` 출력 사용 방법"

#: ../../rag.rst:93 7bbbb34419cf4138a90d6f32225fd2c0
msgid ""
"Once you have your data in :title:`Markdown` format you are ready to "
"chunk/split it and supply it to your :title:`LLM`, for example, if this "
"is :title:`LangChain` then do the following:"
msgstr ":title:`Markdown` 형식의 데이터가 준비되면 청킹/분할하여 :title:`LLM` 에 제공할 준비가 됩니다. 예를 들어, 이것이 :title:`LangChain` 인 경우 다음을 수행하세요:"

#: ../../rag.rst:109 e0cd08f28f6b4684b8212adaecee1134
msgid ""
"For more see `5 Levels of Text Splitting <https://github.com"
"/FullStackRetrieval-"
"com/RetrievalTutorials/blob/main/tutorials/LevelsOfTextSplitting/5_Levels_Of_Text_Splitting.ipynb>`_"
msgstr "자세한 내용은 `5 Levels of Text Splitting <https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/tutorials/LevelsOfTextSplitting/5_Levels_Of_Text_Splitting.ipynb>`_ 를 참조하세요."

#: ../../rag.rst:113 59da1458c9df47cf875bc76ea4b09c0f
msgid "Related Blogs"
msgstr "관련 블로그"

#: ../../rag.rst:115 fc915048dbc24e0fbbb2afab1ec5ea4c
msgid ""
"To find out more about |PyMuPDF|, :title:`LLM` & :title:`RAG` check out "
"our blogs for implementations & tutorials."
msgstr "|PyMuPDF|, :title:`LLM` 및 :title:`RAG` 에 대한 자세한 내용은 구현 및 튜토리얼 블로그를 확인하세요."

#: ../../rag.rst:119 0122bc55056941f1ab375130d1567c25
msgid "Methodologies to Extract Text"
msgstr "텍스트 추출 방법론"

#: ../../rag.rst:121 e7a6690e847f451e86a01250978a6578
msgid ""
"`Enhanced Text Extraction <https://artifex.com/blog/rag-llm-and-pdf-"
"enhanced-text-extraction>`_"
msgstr "`Enhanced Text Extraction <https://artifex.com/blog/rag-llm-and-pdf-enhanced-text-extraction>`_"

#: ../../rag.rst:122 04321925122b427b86774ef96ad18527
msgid ""
"`Conversion to Markdown Text with PyMuPDF <https://artifex.com/blog/rag-"
"llm-and-pdf-conversion-to-markdown-text-with-pymupdf>`_"
msgstr "`Conversion to Markdown Text with PyMuPDF <https://artifex.com/blog/rag-llm-and-pdf-conversion-to-markdown-text-with-pymupdf>`_"

#: ../../rag.rst:127 60562c518d964c8090b1290cd59e6a19
msgid "Create a Chatbot to discuss your documents"
msgstr "문서를 논의하기 위한 챗봇 만들기"

#: ../../rag.rst:129 20a7402279fa4414b283adebd82344bd
msgid ""
"`Make a simple command line Chatbot <https://artifex.com/blog/creating-a"
"-rag-chatbot-with-chatgpt-and-pymupdf>`_"
msgstr "`Make a simple command line Chatbot <https://artifex.com/blog/creating-a-rag-chatbot-with-chatgpt-and-pymupdf>`_"

#: ../../rag.rst:130 68ea640af63a45c382ba8d71fc1796ca
msgid ""
"`Make a Chatbot GUI <https://artifex.com/blog/building-a-rag-chatbot-gui-"
"with-the-chatgpt-api-and-pymupdf>`_"
msgstr "`Make a Chatbot GUI <https://artifex.com/blog/building-a-rag-chatbot-gui-with-the-chatgpt-api-and-pymupdf>`_"

#: ../../footer.rst:46 e79c14c4775649ff81f129c4ebc2dcb1
msgid "This documentation covers all versions up to |version|."
msgstr "이 문서는 |version| 버전까지의 모든 버전을 다룹니다."

