Скачать или смотреть AI Agent Chat with Database Tutorial - 4, Backend II

Welcome to AI Signtist 🚀

In this video, we begin a multi-part series on building an AI Agent that can interact with a database using Python, LLM, LangChain, OpenAI, FastAPI, SQLite, ReactJS.

Github: https://github.com/AISigntist/AI-Agen...

You’ll learn how to design an AI-powered agent that understands natural language queries and translates them into database operations—allowing users to chat with their data.

🔍 What this video covers:
What an AI Agent is (beyond a simple chatbot)
Why databases matter for AI agents
How an AI agent can reason over structured data
Overview of SQLite and why it’s great for learning

Architecture of an AI Agent + Database system
This series is designed for developers, engineers, and learners who want to move beyond prompts and build real-world AI systems.

📌 Upcoming videos in this series:
Connecting an AI agent to SQLite
Translating natural language to SQL
Handling context, memory, and safety
Scaling the agent for real applications

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This project is an *AI-powered chat interface* that allows users to query a SQLite database using **natural language**. Instead of writing SQL queries manually, users can ask questions in plain English, and the system will:

1. Understand the question using OpenAI's GPT model
2. Generate appropriate SQL queries
3. Execute those queries on the SQLite database
4. Return results in a user-friendly format