fromlangchain.tools.retrieverimportcreate_retriever_tool retriever_tool = create_retriever_tool( retriever=retriever, name="movie_search", description="按电影发布年份搜索关于周星驰的电影,并且查询关于周星驰扮演的角色,对于这种类型的问题,you must use this tool!", ) 2.定义工具集 tools = [searchTool,we...
retriever_tool = create_retriever_tool( retriever,"search_demand","找到需求文档中具体说明需求的地方", )@tooldefgenerate_png(uml_code, filename):"""输入plantuml代码生成图像并保存为文件"""plantuml = PlantUML(url='https://plantuml.ceshiren.com/img/') image_bytes = plantuml.processes(uml_cod...
将刚才做的检索器作为新工具附加到函数中create_sql_agent from langchain.agents.agent_toolkits import create_retriever_tool tool_description = """ This tool will help you understand similar examples to adapt them to the user question. Input to this tool should be the user question. """ retriev...
f.write(image_bytes) tools = [retriever_tool, generate_png] llm_with_tools = llm.bind_tools(tools) prompt = hub.pull("hwchase17/openai-tools-agent") agent = create_openai_tools_agent(llm, tools, prompt, ) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) result =...
= OpenAIEmbeddings()# # 4. 向量存储vector = FAISS.from_documents(data, embeddings)retriever = vector.as_retriever()from langchain.tools.retriever import create_retriever_toolretriever_tool = create_retriever_tool( retriever,"search_demand","找到需求文档中具体说明需求的地方",)@tooldefgenerate_pn...
准备一个Retriever,用于从向量存储中检索相关文档。3 准备一个Combine Docs Chain,用于将检索到的文档组合成单个输入字符串。3 使用create_retrieval_chain函数将Retriever和Combine Docs Chain组合成一个Retrieval Chain。3 调用Retrieval Chain的invoke方法,传入查询,即可获得基于检索文档的响应。4 ...
from langchain.tools.retriever import create_retriever_tool from langchain_openai import ChatOpenAI from langchain.agents import create_openai_functions_agent from langchain.agents import AgentExecutor from langchain import hub # 这里需要配置KEY 免费 ...
retriever_tool=create_retriever_tool(retriever,"rzdf_search","搜索有关电影《让子弹飞》的信息。对于任何关于《让子弹飞》的问题,你必须使用此工具!",) 加载内置的llm-math: fromlangchain.agentsimportload_tools tools=load_tools(['llm-math'],llm=llm) ...
createSignalRetriever函数返回一个用于 Angular Signal 的检索器,createFormRetriever函数返回一个用于 Angular 模板驱动、响应式和动态表单的检索器。 从检索器创建检索工具 privateasynccreateSignalRetrieverTool:Promise<DynamicStructuredTool<any>> {constretriever =awaitthis.createSignalRetriever;returncreateRetrieverTool(...
retriever_tool=create_retriever_tool(retriever,"search_demand","找到需求文档中具体说明需求的地方",)@tooldefgenerate_png(uml_code,filename):"""输入plantuml代码生成图像并保存为文件"""plantuml=PlantUML(url='https://plantuml.ceshiren.com/img/')image_bytes=plantuml.processes(uml_code)withopen(f'...