■ CharacterTextSplitter 클래스의 from_tiktoken_encoder 메소드에서 chunk_size/chunk_overlap 인자를 사용해 CharacterTextSplitter 객체를 만드는 방법을 보여준다.
▶ main.py
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
from langchain_text_splitters import CharacterTextSplitter with open("appendix-keywords.txt") as textIOWrapper: fileContent = textIOWrapper.read() characterTextSplitter = CharacterTextSplitter.from_tiktoken_encoder( chunk_size = 300, chunk_overlap = 0 ) textList = characterTextSplitter.split_text(fileContent) print(len(textList)) """ 51 """ |
▶ 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 |
annotated-types==0.7.0 anyio==4.8.0 certifi==2024.12.14 charset-normalizer==3.4.1 exceptiongroup==1.2.2 h11==0.14.0 httpcore==1.0.7 httpx==0.28.1 idna==3.10 jsonpatch==1.33 jsonpointer==3.0.0 langchain-core==0.3.29 langchain-text-splitters==0.3.5 langsmith==0.2.10 orjson==3.10.14 packaging==24.2 pydantic==2.10.5 pydantic_core==2.27.2 PyYAML==6.0.2 regex==2024.11.6 requests==2.32.3 requests-toolbelt==1.0.0 sniffio==1.3.1 tenacity==9.0.0 tiktoken==0.8.0 typing_extensions==4.12.2 urllib3==2.3.0 |
※ pip install langchain-text-splitters tiktoken 명령을 실행했다.
