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。 在langchain中,你可以通过以下方式设置这个密钥: python import os os.environ["OPENAI_API_KEY"] = "你的OpenAI API密钥" 注意:在实际代码中,请确保将"你的OpenAI API密钥"替换为你从OpenAI获取的实际密钥。同时,为了避免...
步骤1:创建Chroma向量存储 from langchain.vectorstores import Chroma from langchain.embeddings.openai import OpenAIEmbeddings persist_directory = 'docs/chroma/' embedding = OpenAIEmbeddings() vectordb = Chroma( persist_directory=persist_directory, embedding_function=embedding ) 步骤2:用少量信息创建一个小型...
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 execute_query = QuerySQLDataBaseTool(db=db) # 获取sql...
from fastapi import FastAPI, Depends, Request, Response from typing import Any, Dict, List, Generator import asyncio from langchain.llms import OpenAI from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler from langchain.schema import LLMResult, HumanMessage, SystemMessage from ...
fromlangchain.chat_modelsimportChatOpenAI#创建llmllm=ChatOpenAI(temperature=0)llm llm的相关参数 这里我们创建的openai的llm默认使用了“gpt-3.5-turbo”模型,同时我们还设置了temperature参数为0,这样做是为了降低llm给出答案的随机性。下面我们来创建一个检索问答链(RetrievalQA),然后我们将llm和检索器(retriever)...
langchain-openai==0.2.3 Changes since langchain-openai==0.2.2 partners/openai: release 0.2.3 (#27457) openai: audio modality, remove sockets from unit tests (#27436) multiple: rely on asyncio_mode auto in tests (#27200) openai[patch]: default temp=1 for o1 (#27206) ...
from langchain.chat_models.openai import ChatOpenAI from langchain.utilities import GoogleSearchAPIWrapper os.environ[“OPENAI_API_KEY”] = ‘my_key’ vectorstore = Chroma(embedding_function=OpenAIEmbeddings(),persist_directory=“./chroma_db_oai”) ...
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. ...
langchain_community openai Next, in your stack.yaml file, setbuffer_body: trueunder theenvironment:section. This reads all of the request input into memory, then sends it to the function, so there’s no streaming input, just a streaming output. ...
I deleted "import openai" part but no change. Could somebody pls help me? from dotenv import load_dotenv from langchain.llms import AzureOpenAI from langchain.embeddings import OpenAIEmbeddings import openai import os # Load environment variables load_dotenv() # Configure Azure OpenAI Service API...