Building a Text to SQL Agent for handling complex database queries | LangChain | Python
This video is an in-depth tutorial on building a Text-to-SQL Agent using LangChain in Python.
In this video, we'll go beyond simple queries and show you how to create a powerful AI agent that can understand complex, natural language questions and convert them into accurate SQL. You'll learn to handle everything from simple SELECT statements to advanced joins and subqueries.
What You'll Learn:
1. Building the Agent: We'll walk you through setting up a LangChain agent from scratch, giving it the "tools" it needs to interact with a database.
2. Converting Text to SQL: Discover how to leverage an LLM (Large Language Model) to dynamically write robust SQL queries from plain English.
3. Handling Complex Queries: See a live demonstration of the agent tackling questions that require joining multiple tables and performing aggregations.
Codebase: https://github.com/SauravP97/AI-Engin...
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