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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 (81 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 492

Skills You Will Learn

  • LLM, LangChain, MySQL, SQL, Python

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 30 minutes

Platform

  • SkillsNetwork

Last Update

  • December 13, 2025
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.

Instructors

Kang Wang

Data Scientist

I was a Data Scientist in the IBM. I also hold a PhD from the University of Waterloo.

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Karan Goswami

Data Scientist at IBM

I am a dedicated Data Scientist and an AI enthusiast, currently working at IBM's Skills Builder Network. Learning how some simple mathematical operations could be used to make predictions and discover patterns sparked my curiosity, leading me to explore the exciting world of AI. Over the years, I’ve gained hands-on experience in building scalable AI solutions, fine-tuning models, and extracting meaningful insights from complex datasets. I'm driven by a desire to apply these skills to solve real-world problems and make a meaningful impact through AI.

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Wojciech "Victor" Fulmyk

Data Scientist at IBM

Wojciech "Victor" Fulmyk is a Data Scientist and AI Engineer on IBM’s Skills Network team, where he focuses on helping learners build expertise in data science, artificial intelligence, and machine learning. He is also a Kaggle competition expert, currently ranked in the top 3% globally among competition participants. An economist by training, he applies his knowledge of statistics and econometrics to bring a distinctive perspective to AI and ML—one that considers both technical depth and broader socioeconomic implications.

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Contributors

Ricky Shi

Data Scientist at IBM

Ricky Shi is a Data Scientist at IBM, specializing in deep learning, computer vision, and Large Language Models. He applies advanced machine learning and generative AI techniques to solve complex challenges across various sectors. As an enthusiastic mentor, Ricky is committed to helping colleagues and peers master technical intricacies and drive innovation.

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