from langchain.retrievers import ContextualCompressionRetriever from langchain.retrievers.document_compressors import LLMChainExtractor # 包装我们的向量存储 llm = OpenAI(temperature=0) compressor = LLMChainExtractor.from_llm(llm) compression_retriever = ContextualCompressionRetriever( base_compressor=compressor, ...
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...
fromlangchain.chainsimportRetrievalQAqa_chain=RetrievalQA.from_chain_type(llm,retriever=vectordb.as_retriever())# 问题=这门课的主要主题是什么?question="What are major topics for this class?"result=qa_chain({"query":question})result["result"] qa_chain返回的结果 这里我们看到,RetrievalQA给出了一...
大型语言模型(Large Language Models,LLMs)是LangChain的核心组件。LangChain并不提供自己的LLMs,而是提供了一个标准接口,用于与许多不同的LLMs进行交互。 具体来说,这个接口接受一个字符串作为输入,并返回一个字符串。 LLMs Models fromlangchain_openaiimport0penAIfromlangchain_community.llms.tongyiimportTongyi ...
I am sure that this is a bug in LangChain rather than my code. The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package). Example Code from langchain.chains import LLMChain from langchain.llms import OpenAI from langchain.prompts ...
llm_chain_kwargs: Optional[dict] = None, ) -> "LLMChainExtractor": """Initialize from LLM.""" _prompt = prompt if prompt is not None else _get_default_chain_prompt() _get_input = get_input if get_input is not None else default_get_input llm_chain = LLMChain(llm=llm, prompt=...
import osfrom getpass import getpassif "OPENAI_API_KEY" not in os.environ: os.environ["OPENAI_API_KEY"] = getpass()LegacyDetails from langchain.chains import LLMMathChainfrom langchain_core.prompts import ChatPromptTemplatefrom langchain_openai import ChatOpenAIllm = ChatOpenAI(model="gpt...
langchain RetrievalQA.from_chain_type 不起作用。它显示 ValidationError: 1 LLMChain 验证错误问题描述 投票:0回答:1我对即时工程还比较陌生。最近,我在langchain PromptTemplate中遇到了一个问题。我正在使用 jupyter 笔记本。我想运行此代码,但它显示 ValidationError。这是我的代码 from langchain_google_genai ...
我建议使用基于LCEL的SQL链，而不是实验性的SQL链：
I’ve been attempting to use WebResearchRetriever from Langchain in Python, and I’m running a segment of code that works for other people, but I keep getting this error: RuntimeError: asyncio.run() cannot be called from …