medium.com
The article presents a detailed guide on leveraging LLM based SQL Agents for automating complex SQL queries within SAP HANA environments. It covers the journey from conceptualization to implementation, including necessary code snippets and an example of creating a FastAPI application.
Main Points
LLM based SQL Agent potential for SAP HANA
Exploring the potential and applications of LLM based SQL Agents for enhancing business intelligence operations within SAP HANA environments.
Integration of langchain library components
Demonstration of integrating langchain library components to automate and simplify SQL query generation and execution.
FastAPI application setup example
Provision of a practical example for setting up a FastAPI application to interface with the SQL database and LLM based agents.
Insights
The article details the deployment of an LLM based SQL Agent for SAP HANA, demonstrating how advanced SQL queries can be generated and executed to solve complex business scenarios.
Business scenario: Picture a scenario where a business user requests a report detailing purchase orders and invoices, specifically pinpointing instances where the invoice amount does not match the purchase order amount.
The implementation involves integrating multiple components such as the LLM, SQLDatabaseToolkit, and create_sql_agent from the langchain library.
from langchain.agents import AgentType, create_sql_agent… sqldb_agent = create_sql_agent( llm=llm, toolkit=sql_toolkit, agent_type=”openai-tools”)
The code example further provides a template for deploying a FastAPI application, including handling API requests with a FastAPI endpoint.
from fastapi import FastAPI, HTTPException… uvicorn.run(app, host=”0.0.0.0”, port=8000)
URL
https://medium.com/@purankhoeval/discover-the-power-of-llm-based-sql-agent-for-sap-hana-queries-4c97343f69e2