[PYTHON/LANGCHAIN] OpenAIEmbeddings 클래스 : embed_query 메소드를 사용해 문자열에서 벡터 리스트 구하기

■ OpenAIEmbeddings 클래스의 embed_query 메소드를 사용해 문자열에서 벡터 리스트를 구하는 방법을 보여준다.

※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.

▶ main.py


from dotenv           import load_dotenv
from langchain_openai import OpenAIEmbeddings

load_dotenv()

openAIEmbeddings = OpenAIEmbeddings()

embeddingList = openAIEmbeddings.embed_query("What was the name mentioned in the conversation?")

print("임베딩 리스트 :", len(embeddingList))

"""
임베딩 리스트 : 1536
"""

from dotenv import load_dotenv

from langchain_openai import OpenAIEmbeddings

load_dotenv()

openAIEmbeddings = OpenAIEmbeddings()

embeddingList = openAIEmbeddings.embed_query("What was the name mentioned in the conversation?")

print("임베딩 리스트 :", len(embeddingList))

"""

임베딩 리스트 : 1536

"""

▶ requirements.txt


annotated-types==0.7.0
anyio==4.4.0
certifi==2024.6.2
charset-normalizer==3.3.2
distro==1.9.0
exceptiongroup==1.2.1
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
jsonpatch==1.33
jsonpointer==3.0.0
langchain-core==0.2.10
langchain-openai==0.1.13
langsmith==0.1.82
openai==1.35.7
orjson==3.10.5
packaging==24.1
pydantic==2.7.4
pydantic_core==2.18.4
python-dotenv==1.0.1
PyYAML==6.0.1
regex==2024.5.15
requests==2.32.3
sniffio==1.3.1
tenacity==8.4.2
tiktoken==0.7.0
tqdm==4.66.4
typing_extensions==4.12.2
urllib3==2.2.2

annotated-types==0.7.0

anyio==4.4.0

certifi==2024.6.2

charset-normalizer==3.3.2

distro==1.9.0

exceptiongroup==1.2.1

h11==0.14.0

httpcore==1.0.5

httpx==0.27.0

idna==3.7

jsonpatch==1.33

jsonpointer==3.0.0

langchain-core==0.2.10

langchain-openai==0.1.13

langsmith==0.1.82

openai==1.35.7

orjson==3.10.5

packaging==24.1

pydantic==2.7.4

pydantic_core==2.18.4

python-dotenv==1.0.1

PyYAML==6.0.1

regex==2024.5.15

requests==2.32.3

sniffio==1.3.1

tenacity==8.4.2

tiktoken==0.7.0

tqdm==4.66.4

typing_extensions==4.12.2

urllib3==2.2.2

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