■ ContextualCompressionRetriever 클래스에서 LLMListwiseRerank 객체를 사용해 컨텍스트 압축 검색하는 방법을 보여준다.
※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.
▶ main.py
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
from dotenv import load_dotenv from langchain_community.document_loaders import TextLoader from langchain_text_splitters import CharacterTextSplitter from langchain_openai import OpenAIEmbeddings from langchain_community.vectorstores import FAISS from langchain_openai import ChatOpenAI from langchain.retrievers.document_compressors import LLMListwiseRerank from langchain.retrievers import ContextualCompressionRetriever load_dotenv() def printDocumentList(documentList): print(f"\n{'-' * 100}\n".join([f"Document {index + 1}:\n\n" + document.page_content for index, document in enumerate(documentList)])) textLoader = TextLoader("state_of_the_union.txt") documentList = textLoader.load() characterTextSplitter = CharacterTextSplitter(chunk_size = 1000, chunk_overlap = 0) splitDocumentList = characterTextSplitter.split_documents(documentList) openAIEmbeddings = OpenAIEmbeddings() faiss = FAISS.from_documents(splitDocumentList, openAIEmbeddings) vectorStoreRetriever = faiss.as_retriever() chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125", temperature = 0) llmListwiseRerank = LLMListwiseRerank.from_llm(chatOpenAI, top_n = 1) contextualCompressionRetriever = ContextualCompressionRetriever(base_compressor = llmListwiseRerank, base_retriever = vectorStoreRetriever) compressedDocumentList = contextualCompressionRetriever.invoke("What did the president say about Ketanji Jackson Brown") printDocumentList(compressedDocumentList) """ Document 1: Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service. One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court. And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence. """ |
▶ requirements.txt
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
aiohappyeyeballs==2.3.6 aiohttp==3.10.3 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.4.0 async-timeout==4.0.3 attrs==24.2.0 certifi==2024.7.4 charset-normalizer==3.3.2 dataclasses-json==0.6.7 distro==1.9.0 exceptiongroup==1.2.2 faiss-gpu==1.7.2 frozenlist==1.4.1 greenlet==3.0.3 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jiter==0.5.0 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.14 langchain-community==0.2.12 langchain-core==0.2.33 langchain-openai==0.1.22 langchain-text-splitters==0.2.2 langsmith==0.1.99 marshmallow==3.21.3 multidict==6.0.5 mypy-extensions==1.0.0 numpy==1.26.4 openai==1.41.0 orjson==3.10.7 packaging==24.1 pydantic==2.8.2 pydantic_core==2.20.1 python-dotenv==1.0.1 PyYAML==6.0.2 regex==2024.7.24 requests==2.32.3 sniffio==1.3.1 SQLAlchemy==2.0.32 tenacity==8.5.0 tiktoken==0.7.0 tqdm==4.66.5 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install python-dotenv langchain-community langchain-openai faiss-gpu 명령을 실행했다.