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...
My Socials 🚀
🙋♂️ Linkedin: / saurav-prateek-7b2096140
☀️ Instagram: / saurav_prateek
⚡️ Book a 1:1 session with me for Interview Preparation and Career guidance, Mock Interviews and Resume Review on Topmate: https://topmate.io/saurav_prateek
На этой странице сайта вы можете посмотреть видео онлайн Building a Text to SQL Agent for handling complex database queries | LangChain | Python длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь Saurav Prateek 03 Август 2025, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 16,033 раз и оно понравилось 418 зрителям. Приятного просмотра!
