Part 2 | Ideating Project | CrewAI MAS Using Azure Blob Storage | Azure PostgreSQL DB | FAST API

Description

Welcome to Part 2 of our deep dive into building an Enterprise Multi-Agent System. 🤖☁️ Lets begin the journey of integrating CrewAI with a production stack. While CrewAI handles the agent orchestration, we need robust infrastructure to support it. That’s why we are integrating Azure Blob Storage for unstructured data handling and PostgreSQL for persistent memory, all exposed via a performant FastAPI interface. 🛠️ The Tech Stack: Orchestration: CrewAI (Multi-Agent framework) Storage: Azure Blob Storage (Cloud implementation) Database: PostgreSQL (Vector & Relational data) Backend: FastAPI (Asynchronous Python API) This series is designed for developers who want to learn how to deploy AI agents in real-world scenarios, not just in Jupyter Notebooks. 📌 In this video: 🔹 Project Scope & Architecture Overview 🔹 Why FastAPI is the best choice for AI Agents 🔹 Designing the Database Schema