Back to Catalog

Query SQL with LangChain and Granite3 using Natural language

IntermediateGuided Project

Use LangChain and the IBM's WatsonX Granite 3 large language model (LLM) to enable intuitive querying of MySQL databases using natural language. By translating natural language queries into SQL commands and executing them with LLMs, you simplify complex data manipulation and analysis. This approach makes data querying more accessible and efficient for professionals across various industries, streamlining workflows and enhancing decision-making processes.

4.6 (83 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 521

Skills You Will Learn

  • LangChain, LLM, MySQL, Python, SQL

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 30 minutes

Platform

  • SkillsNetwork

Last Update

  • March 17, 2026
About this Guided Project

Overview

In the rapidly evolving data management landscape, the efficiency of your database interactions can have a big influence on your business outcomes and strategic insights. In this guided project, you'll create an intelligent agent-to-database interaction through natural language. By leveraging the capabilities of LangChain and IBM's WatsonX Granite 3 LLM, you'll learn how to bridge the gap between complex SQL queries and conversational language. Transform your approach to database management by making data queries more intuitive, accessible, and engaging for users across different professional backgrounds.


Objectives

In the project, you will:

  • Integrate natural language processing: Use tools like LangChain and large language models (LLM) such as Granite 3 to interpret natural language queries.
  • Execute SQL queries from natural language: Translate natural language questions into SQL queries to fetch relevant data from the MySQL database.

What you'll need

For this guided project, you need a basic knowledge of Python and SQL.