from langchain_openai.chat_models import chatopenai 这行代码在 LangChain 中是不正确的。 LangChain 是一个用于开发基于语言模型的应用程序的框架,它提供了与各种语言模型交互的接口。然而,根据你提供的代码片段,from langchain_openai.chat_models import chatopenai 这行代码似乎试图从一个不存在的模块中导入一...
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...
I searched the LangChain documentation with the integrated search. I used the GitHub search to find a similar question and didn't find it. Commit to Help I commit to help with one of those options 👆 Example Code fromlangchain_openaiimportChatOpenAIllm=ChatOpenAI(api_key="ollama",model=...
langchain-openai==0.3.3 langchain-community==0.3.16 Getting the error on creating instance of ChatOpenAI PydanticUserError:ChatOpenAIis not fully defined; you should defineBaseCache, then callChatOpenAI.model_rebuild(). I tried to import BaseCache and using ChatOpenAI.model_rebuild(); then it...
from langchain_openai import AzureChatOpenAI from langchain.prompts import ChatPromptTemplate from rank_bm25 import BM25Okapi import cohere import logging import time from llama_parse import LlamaParse from azure.ai.documentintelligence.models import DocumentAnalysisFeature ...
from langchain.chat_models import ChatOpenAI #创建llm llm = 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...
I run import openai import os from openai import OpenAI and get the error cannot import name ‘OpenAI’ from ‘openai’ I am using Python 3.11.5 and openai 0.27.4
OpenAI Specialist || ChatGPT || Langchain $30.00/hr Sr LLM, ChatGPT, OpenAI, LangChain, Vector Embeddings, prompting, deep learning expert. I am an expert 🦜️🔗LangChain AI Chatbot Developer with a client-centric approach, a passion for originality, and a bold mindset. I specialize...
OpenAI’s API. This technique is known as Retrieval Augmented Generation (RAG) and is a useful way to improve the reliability and accuracy of the LLM’s responses. We used Langchain as a middleware tool to simplify the ChatLTV code base and take advantage of some useful services that sped...
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...