Create a Local SQL AI Agent with LangChain & Ollama ๐Ÿค–

Learn how to build a powerful AI agent that can query your database seamlessly. This full tutorial with source code (requires MLExpert Pro) guides you through integrating LangChain and Ollama for smarter data access.

Create a Local SQL AI Agent with LangChain & Ollama ๐Ÿค–
Venelin Valkov
39.1K views โ€ข Mar 29, 2025
Create a Local SQL AI Agent with LangChain & Ollama ๐Ÿค–

About this video

Full-text tutorial with source code (requires MLExpert Pro): https://www.mlexpert.io/v2-bootcamp/build-ai-agent

Do you still need to write SQL? In this step-by-step tutorial, learn how to build AI Agent that understands natural language questions and interacts directly with your SQL database. We'll build "Querymancer", a complete application running entirely locally using Ollama (Gemma 3 / Qwen 2.5) and LangChain.

AI Bootcamp: https://www.mlexpert.io/
LinkedIn: https://www.linkedin.com/in/venelin-valkov/
Follow me on X: https://twitter.com/venelin_valkov
Discord: https://discord.gg/UaNPxVD6tv
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GitHub repository: https://github.com/curiousily/AI-Bootcamp

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00:00 - Welcome
01:00 - Full-text tutorial and source code on MLExpert.io
01:27 - AI agent and app architecture
03:04 - Database overview
04:17 - Project structure, config and dependencies
06:07 - Load LLM with Ollama
09:02 - Agent loop and prompt
14:04 - Creating database interaction tools (list, describe, sample, execute SQL)
21:22 - Streamlit user interface
24:40 - Live demo: querying the database with natural language
27:40 - Conclusion

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#langchain #aiagents #ollama #artificialintelligence #python #chatbot #chatgpt

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Video Information

Views

39.1K

Likes

765

Duration

28:48

Published

Mar 29, 2025

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