[PYTHON/LANGCHAIN] create_stuff_documents_chain 함수 : RunnableBindable 객체를 만들고 문서 요약하기

■ create_stuff_documents_chain 함수를 사용해 RunnableBindable 객체를 만들고 문서를 요약하는 방법을 보여준다.

※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.

▶ main.py


from dotenv                             import load_dotenv
from langchain_core.documents           import Document
from langchain_openai                   import ChatOpenAI
from langchain_core.prompts             import ChatPromptTemplate
from langchain.chains.combine_documents import create_stuff_documents_chain

load_dotenv()

documentList = [
    Document(page_content = "Apples are red"      , metadata = {"title" : "apple_book"    }),
    Document(page_content = "Blueberries are blue", metadata = {"title" : "blueberry_book"}),
    Document(page_content = "Bananas are yelow"   , metadata = {"title" : "banana_book"   })
]

chatOpenAI = ChatOpenAI(model = "gpt-4o-mini")

chatPromptTemplate = ChatPromptTemplate.from_template("Summarize this content : {context}")

runnableBindable = create_stuff_documents_chain(chatOpenAI, chatPromptTemplate)

responseString = runnableBindable.invoke({"context" : documentList})

print(responseString)

from dotenv import load_dotenv

from langchain_core.documents import Document

from langchain_openai import ChatOpenAI

from langchain_core.prompts import ChatPromptTemplate

from langchain.chains.combine_documents import create_stuff_documents_chain

load_dotenv()

documentList = [

Document(page_content = "Apples are red" , metadata = {"title" : "apple_book" }),

Document(page_content = "Blueberries are blue", metadata = {"title" : "blueberry_book"}),

Document(page_content = "Bananas are yelow" , metadata = {"title" : "banana_book" })

]

chatOpenAI = ChatOpenAI(model = "gpt-4o-mini")

chatPromptTemplate = ChatPromptTemplate.from_template("Summarize this content : {context}")

runnableBindable = create_stuff_documents_chain(chatOpenAI, chatPromptTemplate)

responseString = runnableBindable.invoke({"context" : documentList})

print(responseString)

▶ requirements.txt


aiohappyeyeballs==2.4.4
aiohttp==3.11.11
aiosignal==1.3.2
annotated-types==0.7.0
anyio==4.7.0
attrs==24.3.0
certifi==2024.12.14
charset-normalizer==3.4.0
colorama==0.4.6
distro==1.9.0
frozenlist==1.5.0
greenlet==3.1.1
h11==0.14.0
httpcore==1.0.7
httpx==0.28.1
idna==3.10
jiter==0.8.2
jsonpatch==1.33
jsonpointer==3.0.0
langchain==0.3.13
langchain-core==0.3.28
langchain-openai==0.2.14
langchain-text-splitters==0.3.4
langsmith==0.2.4
multidict==6.1.0
numpy==2.2.1
openai==1.58.1
orjson==3.10.12
packaging==24.2
propcache==0.2.1
pydantic==2.10.4
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==2.0.36
tenacity==9.0.0
tiktoken==0.8.0
tqdm==4.67.1
typing_extensions==4.12.2
urllib3==2.3.0
yarl==1.18.3

aiohappyeyeballs==2.4.4

aiohttp==3.11.11

aiosignal==1.3.2

annotated-types==0.7.0

anyio==4.7.0

attrs==24.3.0

certifi==2024.12.14

charset-normalizer==3.4.0

colorama==0.4.6

distro==1.9.0

frozenlist==1.5.0

greenlet==3.1.1

h11==0.14.0

httpcore==1.0.7

httpx==0.28.1

idna==3.10

jiter==0.8.2

jsonpatch==1.33

jsonpointer==3.0.0

langchain==0.3.13

langchain-core==0.3.28

langchain-openai==0.2.14

langchain-text-splitters==0.3.4

langsmith==0.2.4

multidict==6.1.0

numpy==2.2.1

openai==1.58.1

orjson==3.10.12

packaging==24.2

propcache==0.2.1

pydantic==2.10.4

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==2.0.36

tenacity==9.0.0

tiktoken==0.8.0

tqdm==4.67.1

typing_extensions==4.12.2

urllib3==2.3.0

yarl==1.18.3

※ pip install python-dotenv langchain langchain-openai 명령을 실행했다.