Query SQL with LangChain and Granite3 using Natural language
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Master SQL querying with LangChain and Granite3 using natural language. Learn how to interact with databases more intuitively and execute SQL queries with ease using AI-driven tools.
At a Glance
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.
Overview
Objectives
- 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
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