首先,你需要确保已经安装了langchain库。如果尚未安装,可以使用pip进行安装: bash pip install langchain 然后,在你的Python代码中导入langchain库中的openai模块: python from langchain import openai 2. 设置OpenAI API的密钥 为了使用OpenAI的API,你需要一个有效的API密钥。你可以从OpenAI的官方网站获取这个密钥...
步骤2:使用Embbeding类为每个句子生成一个嵌入 from langchain.embeddings.openai import OpenAIEmbeddings embedding = OpenAIEmbeddings() embedding1 = embedding.embed_query(sentence1) embedding2 = embedding.embed_query(sentence2) embedding3 = embedding.embed_query(sentence3) 步骤3:用点积(dot product)来计算...
fromlangchain.vectorstoresimportChromafromlangchain.embeddings.openaiimportOpenAIEmbeddingspersist_directory='docs/chroma/'embedding=OpenAIEmbeddings()vectordb=Chroma(persist_directory=persist_directory,embedding_function=embedding)#打印向量数据库中的文档数量print(vectordb._collection.count()) 向量数据库中的文档...
from typing import List, Tuple from dotenv import load_dotenv from langchain.text_splitter import RecursiveCharacterTextSplitter from langchain.schema import Document from langchain_openai import AzureOpenAIEmbeddings from langchain_community.vectorstores import FAISS from langchain_openai import AzureChatOp...
from langchain.chains import create_sql_query_chain from langchain_openai import ChatOpenAI llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0) from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool # 执行查询动作 ...
from langchain.utilities import GoogleSearchAPIWrapper os.environ[“OPENAI_API_KEY”] = ‘my_key’ vectorstore = Chroma(embedding_function=OpenAIEmbeddings(),persist_directory=“./chroma_db_oai”) llm = ChatOpenAI(temperature=0) os.environ[“GOOGLE_CSE_ID”...
openai.api_type = "azure" openai.api_version = "2022-12-01" openai.api_base = os.getenv('OPENAI_API_BASE') openai.api_key = os.getenv("OPENAI_API_KEY") Expected behavior from dotenv import load_dotenv from langchain.llms import AzureOpenAI ...
"Requirement already satisfied: distro<2,>=1.7.0 in /Users/malcolm/.pyenv/versions/anaconda3-2023.03-1/lib/python3.10/site-packages (from openai<2.0.0,>=1.10.0->langchain-openai) (1.9.0)\n", "Requirement already satisfied: anyio<5,>=3.5.0 in /Users/malcolm/.pyenv/versions/anaconda3-...
from langchain.embeddings.openai import OpenAIEmbeddings embedding = OpenAIEmbeddings(openai_api_key=api_key) db = Chroma(persist_directory="embeddings\\",embedding_function=embedding) The embedding_function parameter accepts OpenAI embedding object that serves the purpose. ...
fromflaskimportstream_with_context,request,Responseimportrequestsfromlangchain_community.chat_modelsimportChatOpenAIfromosimportenvironenviron["OPENAI_API_KEY"]="Bearer foo"chat_model=ChatOpenAI(model="gpt-3.5-turbo",openai_api_base="https://openai.inlets.dev/v1",)defhandle(req):prompt="You are ...