■ RecursiveCharacterTextSplitter 클래스를 사용해 create_documents 메소드를 사용해 마크다운 문자열에서 문서 리스트를 구하는 방법을 보여준다.
▶ main.py
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
from langchain.text_splitter import RecursiveCharacterTextSplitter from langchain.text_splitter import Language codeString = """ # 🦜️🔗 LangChain ⚡ Building applications with LLMs through composability ⚡ ## Quick Install ```bash # Hopefully this code block isn't split pip install langchain ``` As an open-source project in a rapidly developing field, we are extremely open to contributions. """ recursiveCharacterTextSplitter = RecursiveCharacterTextSplitter.from_language(language = Language.MARKDOWN, chunk_size = 60, chunk_overlap = 0) documentList = recursiveCharacterTextSplitter.create_documents([codeString]) print(documentList) """ [Document(page_content='# 🦜️🔗 LangChain'), Document(page_content='⚡ Building applications with LLMs through composability ⚡'), Document(page_content='## Quick Install\n\n```bash'), Document(page_content="# Hopefully this code block isn't split"), Document(page_content='pip install langchain'), Document(page_content='```'), Document(page_content='As an open-source project in a rapidly developing field, we'), Document(page_content='are extremely open to contributions.')] """ |
▶ requirements.txt
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 frozenlist==1.4.1 greenlet==3.0.3 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.6 langchain-core==0.2.10 langchain-text-splitters==0.2.2 langsmith==0.1.82 multidict==6.0.5 numpy==1.26.4 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 requests==2.32.3 SQLAlchemy==2.0.31 tenacity==8.4.2 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install langchain langchain-text-splitters 명령을 실행했다.