方法一:使用SQLDatabaseToolKit和Agent 创建MySQL数据库连接: 使用SQLDatabase.from_uri方法从数据库URI创建MySQL数据库连接。 python from langchain.chains.database import SQLDatabase MYSQL_URI = "mysql+pymysql://username:password@localhost:3306/dbname" db = SQLDatabase.from_uri(MYSQL_URI) 创建SQLDat...
语法:DBMS_SQL.parse(c in integer,statement in varchar2,language_flag in integer) 其中,参数C表示游标(可以设为C=DBMS_SQL.open_cursor),statement为sql语句,language_flag为解析sql语句所用oracle版本,一般有V6,V7跟native(在不明白所连database版本时,使用 BMS_SQL.native)。 3)、BIND_VARIABLE 作用:将给...
The next section utilizes theLangChain SQL Database Toolkitto create a LangChain SQL agent that uses OpenAI as the LLM and the database connection. Copy toolkit=SQLDatabaseToolkit(db=db,llm=OpenAI(temperature=0))agent_executor=create_sql_agent(llm=OpenAI(temperature=0),toolkit=toolkit,verbose=T...
SQLDatabaseToolkit is not currently working. Se errors attached. This is the code that creates the errors: llm = AzureChatOpenAI(deployment_name="gpt-4",temperature=0, max_tokens=500) db = SQLDatabase.from_uri(db_url) toolkit = SQLDataba...
My code was working fine till day before. Since yesterday SQLDatabasetoolkit function is throwing error. I will use the build agent to query database but right now cannot even built the toolkit. I am new to this, not sure where to make changes. I believe it is something related to upda...
toolkit = SQLDatabaseToolkit(db=db, llm=model) # Creating and Running a SQL Agent agent_executor = create_sql_agent( llm=model, toolkit=toolkit, verbose=True, agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION, ) agent_executor.run("Number of customer") ...
由下面结果可知,自动转换为了sql语句 3 通过agent执行sql from langchain.agents import create_sql_agent from langchain.agents.agent_toolkits importSQLDatabaseToolkitfrom langchain.agents.agent_types import AgentType agent_executor = create_sql_agent( ...
agents.agent_toolkits import SQLDatabaseToolkit from langchain.agents.agent_types import AgentType from langchain.llms.openai import OpenAI from langchain.sql_database import SQLDatabase import os 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Setting up the SQL Database Connection db = ...
from langchain.agents import create_sql_agent from langchain.agents.agent_toolkits import SQLDatabaseToolkit from langchain.agents import AgentExecutor from langchain.llms.tongyi import Tongyi from langchain.sql_database import SQLDatabase import psycopg2cffi as psycopg2 # pip install psycopg-binary ...