在这个例子中,我们将使用 Langchain 作为我们的框架来构建它。 import os 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_co...
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...
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...
Azure OpenAI Service Proxy. Convert OpenAI official API request to Azure OpenAI API request. Support GPT-4,Embeddings,Langchain. Adapter from OpenAI to Azure OpenAI. - stulzq/azure-openai-proxy
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”) ...
I am trying to follow the simple example provided by deeplearning.ai in their short course tutorial. As per the tutorial following steps are performed load text split text Create embedding using OpenAI Embedding API L…
langChain的PineconeStore.fromExistingIndex(),中有个textKey属性,请问这个属性的作用是用来模糊搜索pageContent的内容吗?但是我用了,好像不起作用? export const handler = async ({ textKey = "", window_id = "01234567890", question = "把大象装进冰箱总共分几步" }) => { const { model, pinecone,...
Azure File Storage Azure IoT Central V2 Azure IoT Central V3 Azure Key Vault Azure Log Analytics [DEPRECATED] Azure Log Analytics Data Collector Azure Monitor Logs Azure OpenAI Azure Queues Azure Resource Manager Azure Speech Pronunciation Assessment Azure SQL Data Warehouse Azure Table Storage A...
📃LangChain-Chatchat(原 Langchain-ChatGLM) 基于ChatGLM 等大语言模型与 Langchain 等应用框架实现,开源、可离线部署的检索增强生成(RAG)大模型知识库项目。 ⚠️ 重要提示 0.2.10将会是0.2.x系列的最后一个版本,0.2.x系列版本将会停止更新和技术支持,全力研发具有更强应用性的Langchain-Chatchat 0.3.x。
System Info Platform: local development on MacOS Ventura Python version: 3.10.12 langchain.version: 0.0.288 faiss.version: 1.7.4 chromadb.version: 0.4.10 openai.version: 0.28.0 Who can help? @hwchase17 Information The official example no...