AI Agent Chat with Database - 2. Architecture скачать в хорошем качестве

AI Agent Chat with Database - 2. Architecture

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 🔔 Subscribe to AI Signtist for practical AI engineering, signal-based thinking, and real-world AI system design. 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