■ RecursiveCharacterTextSplitter 클래스를 사용해 create_documents 메소드를 사용해 HTML 문자열에서 문서 리스트를 구하는 방법을 보여준다.
▶ main.py
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from langchain.text_splitter import RecursiveCharacterTextSplitter from langchain.text_splitter import Language codeString = """ <!DOCTYPE html> <html> <head> <title>🦜️🔗 LangChain</title> <style> body { font-family: Arial, sans-serif; } h1 { color: darkblue; } </style> </head> <body> <div> <h1>🦜️🔗 LangChain</h1> <p>⚡ Building applications with LLMs through composability ⚡</p> </div> <div> As an open-source project in a rapidly developing field, we are extremely open to contributions. </div> </body> </html> """ recursiveCharacterTextSplitter = RecursiveCharacterTextSplitter.from_language(language = Language.HTML, chunk_size = 60, chunk_overlap = 0) documentList = recursiveCharacterTextSplitter.create_documents([codeString]) print(documentList) """ [Document(page_content='<!DOCTYPE html>\n<html>'), Document(page_content='<head>\n <title>🦜️🔗 LangChain</title>'), Document(page_content='<style>\n body {\n font-family: Aria'), Document(page_content='l, sans-serif;\n }\n h1 {'), Document(page_content='color: darkblue;\n }\n </style>\n </head'), Document(page_content='>'), Document(page_content='<body>'), Document(page_content='<div>\n <h1>🦜️🔗 LangChain</h1>'), Document(page_content='<p>⚡ Building applications with LLMs through composability ⚡'), Document(page_content='</p>\n </div>'), Document(page_content='<div>\n As an open-source project in a rapidly dev'), Document(page_content='eloping field, we are extremely open to contributions.'), Document(page_content='</div>\n </body>\n</html>')] """ |
▶ requirements.txt
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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.