■ RunnablePassthrough 클래스의 assign 정적 메소드를 사용해 검색기를 체인에서 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_community.document_loaders import WebBaseLoader from langchain_text_splitters import RecursiveCharacterTextSplitter from langchain_openai import OpenAIEmbeddings from langchain_chroma import Chroma from langchain_openai import ChatOpenAI from langchain_core.prompts import ChatPromptTemplate from langchain_core.prompts import MessagesPlaceholder from langchain.chains.combine_documents import create_stuff_documents_chain from langchain_core.messages import HumanMessage from typing import Dict from langchain_core.runnables import RunnablePassthrough load_dotenv() webBaseLoader = WebBaseLoader("https://docs.smith.langchain.com/overview") documentList = webBaseLoader.load() recursiveCharacterTextSplitter = RecursiveCharacterTextSplitter(chunk_size = 500, chunk_overlap = 0) splitDocumentList = recursiveCharacterTextSplitter.split_documents(documentList) openAIEmbeddings = OpenAIEmbeddings() chroma = Chroma.from_documents(documents = splitDocumentList, embedding = openAIEmbeddings) vectorStoreRetriever = chroma.as_retriever(k = 4) chatOpenAI = ChatOpenAI(model = "gpt-4o-mini", temperature = 0.2) systemTemplateString = """Answer the user's questions based on the below context. If the context doesn't contain any relevant information to the question, don't make something up and just say "I don't know" : <context> {context} </context> """ chatPromptTemplate = ChatPromptTemplate.from_messages( [ ("system", systemTemplateString), MessagesPlaceholder(variable_name = "messages") ] ) runnableBindable = create_stuff_documents_chain(chatOpenAI, chatPromptTemplate) def GetLastMessage(inputDictionary : Dict): return inputDictionary["messages"][-1].content runnableSequence = RunnablePassthrough.assign(context = GetLastMessage | vectorStoreRetriever).assign(answer = runnableBindable) responseDictionary = runnableSequence.invoke({"messages" : [HumanMessage(content = "Can LangSmith help test my LLM applications?")]}) print(responseDictionary["answer"]) """ Yes, LangSmith allows you to closely monitor and evaluate your LLM applications, helping you to test them effectively. """ |
▶ requirements.txt
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aiohappyeyeballs==2.4.4 aiohttp==3.11.10 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.7.0 asgiref==3.8.1 attrs==24.2.0 backoff==2.2.1 bcrypt==4.2.1 beautifulsoup4==4.12.3 bs4==0.0.2 build==1.2.2.post1 cachetools==5.5.0 certifi==2024.8.30 charset-normalizer==3.4.0 chroma-hnswlib==0.7.6 chromadb==0.5.23 click==8.1.7 colorama==0.4.6 coloredlogs==15.0.1 dataclasses-json==0.6.7 Deprecated==1.2.15 distro==1.9.0 durationpy==0.9 fastapi==0.115.6 filelock==3.16.1 flatbuffers==24.3.25 frozenlist==1.5.0 fsspec==2024.10.0 google-auth==2.36.0 googleapis-common-protos==1.66.0 greenlet==3.1.1 grpcio==1.68.1 h11==0.14.0 httpcore==1.0.7 httptools==0.6.4 httpx==0.28.1 httpx-sse==0.4.0 huggingface-hub==0.26.5 humanfriendly==10.0 idna==3.10 importlib_metadata==8.5.0 importlib_resources==6.4.5 jiter==0.8.0 jsonpatch==1.33 jsonpointer==3.0.0 kubernetes==31.0.0 langchain==0.3.10 langchain-chroma==0.1.4 langchain-community==0.3.10 langchain-core==0.3.22 langchain-openai==0.2.11 langchain-text-splitters==0.3.2 langsmith==0.1.147 markdown-it-py==3.0.0 marshmallow==3.23.1 mdurl==0.1.2 mmh3==5.0.1 monotonic==1.6 mpmath==1.3.0 multidict==6.1.0 mypy-extensions==1.0.0 numpy==1.26.4 oauthlib==3.2.2 onnxruntime==1.20.1 openai==1.57.0 opentelemetry-api==1.28.2 opentelemetry-exporter-otlp-proto-common==1.28.2 opentelemetry-exporter-otlp-proto-grpc==1.28.2 opentelemetry-instrumentation==0.49b2 opentelemetry-instrumentation-asgi==0.49b2 opentelemetry-instrumentation-fastapi==0.49b2 opentelemetry-proto==1.28.2 opentelemetry-sdk==1.28.2 opentelemetry-semantic-conventions==0.49b2 opentelemetry-util-http==0.49b2 orjson==3.10.12 overrides==7.7.0 packaging==24.2 posthog==3.7.4 propcache==0.2.1 protobuf==5.29.1 pyasn1==0.6.1 pyasn1_modules==0.4.1 pydantic==2.10.3 pydantic-settings==2.6.1 pydantic_core==2.27.1 Pygments==2.18.0 PyPika==0.48.9 pyproject_hooks==1.2.0 pyreadline3==3.5.4 python-dateutil==2.9.0.post0 python-dotenv==1.0.1 PyYAML==6.0.2 regex==2024.11.6 requests==2.32.3 requests-oauthlib==2.0.0 requests-toolbelt==1.0.0 rich==13.9.4 rsa==4.9 shellingham==1.5.4 six==1.17.0 sniffio==1.3.1 soupsieve==2.6 SQLAlchemy==2.0.36 starlette==0.41.3 sympy==1.13.3 tenacity==9.0.0 tiktoken==0.8.0 tokenizers==0.20.3 tqdm==4.67.1 typer==0.15.1 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.3 uvicorn==0.32.1 watchfiles==1.0.0 websocket-client==1.8.0 websockets==14.1 wrapt==1.17.0 yarl==1.18.3 zipp==3.21.0 |
※ pip install python-dotenv langchain-community langchain-openai langchain-chroma bs4 명령을 실행했다.