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”) llm = Chat...
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...
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,为了避免在代码中硬编码密钥,建议将密钥保存在环境变量...
System Info I got this error from on my office laptop OS: Win 10 I checked AzureAI key, url, deployment and model names. No problem about that. This guy having same issue with me : https://stackoverflow.com/questions/76750207/azureopenai...
Checked other resources I added a very descriptive title to this issue. I searched the LangChain documentation with the integrated search. I used the GitHub search to find a similar question and didn't find it. I am sure that this is a b...
如LangChain 快速入门所示,我正在尝试以下 Python 代码:from langchain.prompts.chat import ChatPromptTemplate template = "You are a helpful assistant that translates {input_language} to {output_language}." human_template = "{text}" chat_prompt = ChatPromptTemplate.from_messages([ ("system", ...
📃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。
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,...
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. ...
Issue you'd like to raise. I have an issue when trying to set 'gpt-3.5-turbo' as a model to create embeddings. When using the 'gpt-3.5-turbo' to create LLM, everything works fine: llm = OpenAI(model_name='gpt-3.5-turbo', temperature=0, o...