■ create_stuff_documents_chain 함수를 사용해 여러 문서를 하나의 프롬프트로 결합해 언어 모델에 전달하는 방법을 보여준다.
▶ main.py
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import os from langchain_openai import ChatOpenAI from langchain_core.prompts import ChatPromptTemplate from langchain.chains.combine_documents import create_stuff_documents_chain os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>" chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125") systemString = """You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, say that you don't know. Use three sentences maximum and keep the answer concise. \n\n {context} """ chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system", systemString), ("human", "{input}"), ] ) runnableBinding = create_stuff_documents_chain(chatOpenAI, chatPromptTemplate) |
▶ requirements.txt
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aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.4.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 distro==1.9.0 exceptiongroup==1.2.1 frozenlist==1.4.1 greenlet==3.0.3 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.3 langchain-core==0.2.5 langchain-openai==0.1.8 langchain-text-splitters==0.2.1 langsmith==0.1.77 multidict==6.0.5 numpy==1.26.4 openai==1.33.0 orjson==3.10.4 packaging==23.2 pydantic==2.7.3 pydantic_core==2.18.4 PyYAML==6.0.1 regex==2024.5.15 requests==2.32.3 sniffio==1.3.1 SQLAlchemy==2.0.30 tenacity==8.3.0 tiktoken==0.7.0 tqdm==4.66.4 typing_extensions==4.12.2 urllib3==2.2.1 yarl==1.9.4 |
※ pip install langchain langchain-openai 명령을 실행했다.