■ FAISS 클래스의 from_documents 정적 메소드를 사용해 벡터 저장소 생성시 CacheBackedEmbeddings 객체를 사용하는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
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from dotenv import load_dotenv from langchain_openai import OpenAIEmbeddings from langchain.storage import LocalFileStore from langchain.embeddings import CacheBackedEmbeddings from langchain_community.document_loaders import TextLoader from langchain_text_splitters import CharacterTextSplitter from langchain_community.vectorstores import FAISS load_dotenv() openAIEmbeddings = OpenAIEmbeddings() localFileStore = LocalFileStore("./temp/") cacheBackedEmbeddings = CacheBackedEmbeddings.from_bytes_store( underlying_embeddings = openAIEmbeddings, document_embedding_cache = localFileStore, namespace = openAIEmbeddings.model ) textLoader = TextLoader("appendix-keywords.txt") documentList = textLoader.load() characterTextSplitter = CharacterTextSplitter(chunk_size = 1000, chunk_overlap = 0) splitDocumentList = characterTextSplitter.split_documents(documentList) faiss1 = FAISS.from_documents(splitDocumentList, cacheBackedEmbeddings) faiss2 = FAISS.from_documents(splitDocumentList, cacheBackedEmbeddings) # 생성된 값을 사용한다. |
▶ requirements.txt
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aiohappyeyeballs==2.4.4 aiohttp==3.11.11 aiosignal==1.3.2 annotated-types==0.7.0 anyio==4.8.0 async-timeout==4.0.3 attrs==24.3.0 certifi==2024.12.14 charset-normalizer==3.4.1 dataclasses-json==0.6.7 distro==1.9.0 exceptiongroup==1.2.2 faiss-gpu==1.7.2 frozenlist==1.5.0 greenlet==3.1.1 h11==0.14.0 httpcore==1.0.7 httpx==0.28.1 httpx-sse==0.4.0 idna==3.10 jiter==0.8.2 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.3.14 langchain-community==0.3.14 langchain-core==0.3.29 langchain-openai==0.3.0 langchain-text-splitters==0.3.5 langsmith==0.2.10 marshmallow==3.25.1 multidict==6.1.0 mypy-extensions==1.0.0 numpy==1.26.4 openai==1.59.7 orjson==3.10.14 packaging==24.2 propcache==0.2.1 pydantic==2.10.5 pydantic-settings==2.7.1 pydantic_core==2.27.2 python-dotenv==1.0.1 PyYAML==6.0.2 regex==2024.11.6 requests==2.32.3 requests-toolbelt==1.0.0 sniffio==1.3.1 SQLAlchemy==2.0.37 tenacity==9.0.0 tiktoken==0.8.0 tqdm==4.67.1 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.3.0 yarl==1.18.3 |
※ pip install python-dotenv langchain-community langchain-openai faiss-gpu 명령을 실행했다.