Dataherald

Dataherald is a natural language-to-SQL.

此页面介绍如何在 LangChain 中使用 Dataherald API。

安装与设置

使用以下命令安装所需依赖：

pip install dataherald

前往 dataherald 并注册这里
创建一个应用并获取你的 API KEY
将你的 API KEY 设置为环境变量 DATAHERALD_API_KEY

包装器

工具

存在一个 DataheraldAPIWrapper 工具，用于封装此 API。要导入此工具：

from langchain_community.utilities.dataherald import DataheraldAPIWrapper

API 参考：DataheraldAPIWrapper

有关此包装器的更详细指南，请参见这个笔记本。

工具

你可以像这样在代理中使用该工具：

from langchain_community.utilities.dataherald import DataheraldAPIWrapper
from langchain_community.tools.dataherald.tool import DataheraldTextToSQL
from langchain_openai import ChatOpenAI
from langchain import hub
from langchain.agents import AgentExecutor, create_react_agent, load_tools

api_wrapper = DataheraldAPIWrapper(db_connection_id="<db_connection_id>")
tool = DataheraldTextToSQL(api_wrapper=api_wrapper)
llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
prompt = hub.pull("hwchase17/react")
agent = create_react_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True, handle_parsing_errors=True)
agent_executor.invoke({"input":"Return the sql for this question: How many employees are in the company?"})

输出

> Entering new AgentExecutor chain...
I need to use a tool that can convert this question into SQL.
Action: dataherald
Action Input: How many employees are in the company?Answer: SELECT
    COUNT(*) FROM employeesI now know the final answer
Final Answer: SELECT
    COUNT(*)
FROM
    employees

> Finished chain.
{'input': 'Return the sql for this question: How many employees are in the company?', 'output': "SELECT \n    COUNT(*)\nFROM \n    employees"}

有关工具的更多信息，请参见此页面。

安装与设置​

包装器​

工具​

工具​

安装与设置

包装器

工具

工具