I am building a chatbot in which i have to use Langchain’s SQLQueryChain for which i am using
“from langchain.chains.sql_database import SQLQueryChain” But this is not recognised so i don’t have any idea how can I fulfill my requirement.

Below is my code

# Importing necessary libraries and modules
from rasa_sdk import Action
from rasa_sdk.executor import CollectingDispatcher
from rasa_sdk import Tracker
from rasa_sdk.events import SlotSet
from langchain.sql_database import SQLDatabase
from langchain.chains.sql_database import SQLQueryChain
from langchain.llms.openai import OpenAI
import sqlalchemy  # For interacting with SQL databases

# Configuration for OpenAI and SQLDatabase
api_key = "your_openai_api_key"  # Replace with your OpenAI API key
db_uri = "your_database_uri"  # Replace with your SQL database URI

# Creating instances of SQLDatabase and SQLQueryChain
sql_database = SQLDatabase.from_uri(db_uri)
sql_chain = SQLQueryChain(
    llm=OpenAI(api_key=api_key),
    database=sql_database,
)

# Function to execute SQL queries and return results
def execute_sql_query(sql_query):
    # Connect to the database
    engine = sqlalchemy.create_engine(db_uri)
    with engine.connect() as connection:
        # Execute the SQL query and fetch the results
        result = connection.execute(sql_query).fetchall()
    return result

# Custom action to query HRMS database based on context
class ActionQueryHRMS(Action):
    def name(self):
        return "action_query_hrms"

    def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: dict):
        # Get the intent and any relevant entities from the tracker
        intent = tracker.latest_message.get("intent", {}).get("name", "")
        entities = {slot: tracker.get_slot(slot) for slot in ["employee_name", "department_name"]}
        
        # Generate SQL query based on the intent and context (entities)
        sql_query = sql_chain.generate(intent=intent, context=entities)

        # Execute the SQL query and fetch the results
        result = execute_sql_query(sql_query)
        
        if result:
            # Format the response based on the query result
            response = f"Query result: {result}"
        else:
            response = "No relevant information found."
        
        dispatcher.utter_message(text=response)  # Send response back to the user
        return []

I tried searching all the latest import statements to find SQLQueryChain import but i couldn’t find it.