■ CSVLoader 클래스의 생성자에서 source_column 인자를 사용해 CSV 파일 문서를 로드하는 방법을 보여준다.
▶ main.py
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from langchain_community.document_loaders.csv_loader import CSVLoader csvLoader = CSVLoader(file_path = "source.csv", source_column = "성명") documentList = csvLoader.load() for document in documentList: print(document) """ page_content='ID: ID001\n성명: 홍길동\n점수: 90' metadata={'source': '홍길동', 'row': 0} page_content='ID: ID002\n성명: 김철수\n점수: 100' metadata={'source': '김철수', 'row': 1} page_content='ID: ID003\n성명: 이영희\n점수: 80' metadata={'source': '이영희', 'row': 2} """ |
▶ 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 dataclasses-json==0.6.7 frozenlist==1.4.1 greenlet==3.0.3 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.6 langchain-community==0.2.6 langchain-core==0.2.10 langchain-text-splitters==0.2.2 langsmith==0.1.82 marshmallow==3.21.3 multidict==6.0.5 mypy-extensions==1.0.0 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-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install langchain-community 명령을 실행했다.
