From SQLite to AI-Powered Databases: The Evolution of Data (Docker + FastAPI Tutorial)

Description

🚀 Master the Evolution of Databases — from Traditional Tables to AI-Powered Search! In this hands-on tutorial, you’ll build and test a complete 3-tier data stack using Docker Compose and FastAPI. We’ll explore how Relational (SQLite), NoSQL (Redis), and Vector (Postgres + pgvector) databases differ — and why modern AI systems combine all three. Code with tests and explanations at: https://blog.schogini.com/html_files/db-evolution.html 💡 You’ll Learn: How to use SQLite for structured CRUD operations How to store and retrieve key/value pairs and documents in Redis How to enable semantic search using pgvector in PostgreSQL How to test each endpoint using curl and Dockerized APIs How to combine these layers into a hybrid, intelligent data architecture 🧩 Tech Stack: FastAPI • Docker Compose • SQLite • Redis • PostgreSQL • pgvector 🎯 Ideal for: Developers, Data Engineers, and AI Enthusiasts who want to understand how modern apps store, retrieve, and understand data. 👇 Chapters: 0:00 – Introduction 1:45 – Why Databases Evolved 3:30 – Relational DB (SQLite) 7:10 – NoSQL DB (Redis) 10:00 – Vector DB (pgvector) 14:00 – Testing with curl 17:00 – The Future: Hybrid Data Systems 🔗 Download the full project: [db-evolution-v4.zip] 📜 Code on GitHub: (add your repo link) 💬 Comment below with which DB you prefer — SQL, NoSQL, or Vector! #FastAPI #Docker #PostgreSQL #pgvector #Redis #SQLite #AI #DatabaseTutorial #VectorDatabase #NoSQL #SemanticSearch #Python #DataEngineering #ArtificialIntelligence Book a free consultation now and let our expert engineers guide you. Contact us today! Visit: https://www.schogini.com