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...
LangChain和LlamaIndex:这些框架简化了大型语言模型的管理,使得提示管理和数据嵌入更加高效。 from langchain.chains import LLMChain from langchain.llms import OpenAI llm = OpenAI(temperature=0.7) chain = LLMChain(llm=llm) response = chain.run("What is 2 + 2?") print(response) 五、可观察性与调试...
接下来我们要创建一个检索问答链(RetrievalQA),然后将相关文档的搜索结果以及用户的问题喂给RetrievalQA,让它来产生最终的答案,不过首先我们需要创建一个openai的LLM: 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-tur...
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...
from langchain.llms import AzureOpenAI from langchain.embeddings import OpenAIEmbeddings import openai import os dosubotbotaddedⱭ: embeddingsRelated to text embedding models moduleⱭ: modelsRelated to LLMs or chat model modules🤖:bugRelated to a bug, vulnerability, unexpected error with an exis...
首先,确保你的机器安装了 Python 3.8 - 3.11 (我们强烈推荐使用 Python3.11)。 $ python --version Python 3.11.7 接着,创建一个虚拟环境,并在虚拟环境内安装项目的依赖 #拉取仓库$gitclonehttps://github.com/chatchat-space/Langchain-Chatchat.git#进入目录$cdLangchain-Chatchat#安装全部依赖$pip install ...
To use it in [LangChain](https://python.langchain.com/docs/get_started/introduction), simply create an instance of `ChatOpenAI` and pass your `<ENDPOINT_URL>` and `<HF_API_TOKEN>` as follows: ```python from langchain_community.chat_models.openai import ChatOpenAI llm = ChatOpenAI( mo...
根据第一段中Chat Generative Pre-trained Transformer (ChatGPT),created by OpenAI,an AI and research company,is a natural language processing tool driven by AI technology that allows you to have human-like conversations and much more with a chatbot.(生成型预训练变换模型(ChatG...
Easy-LLMS is a Python module which gives you easy "1-line" access to every LLM (Large Language Model) within OpenAI, MS Azure, AWS Bedrock, GCP Vertex, and Ollama The idea is that you do not need to focus on the individual provider's APIs or LangChain abstractions, the different aut...
from abc import ABC from langchain.llms.base import LLM from typing import Any, List, Mapping, Optional from langchain.callbacks.manager import CallbackManagerForLLMRun device = "cuda" # the device to load the model onto # Now you do not need to add "trust_remote_code=True" model = ...