How to Setup and Use Your AI Chatbot with OpenAI API (Step-by-Step Guide 2025)
Learn how to set up and use your AI chatbot built with the OpenAI API.
How to Setup and Use Your AI Chatbot with OpenAI API (Step-by-Step Guide 2025)
Build a Production-Ready Chatbot with OpenAI API, Flask, Redis, and React In this detailed guide, we’ll design and implement a production-grade chatbot that integrates OpenAI’s GPT models with a Flask backend, Redis memory, PostgreSQL storage, and a React frontend. We’ll also include deployment, scaling, and security considerations for running this in production. Overview:
Flask handles API requests, Redis manages short-term memory, PostgreSQL stores conversations, and React provides the UI. Docker Compose orchestrates everything.
๐ Architecture Backend (Flask): Handles user requests, moderation, rate-limiting, and OpenAI calls. PostgreSQL: Stores user accounts, chat logs, and analytics. Redis: Keeps recent chat history for fast context. React Frontend: Chat UI with live updates. Docker & Nginx: Deployment with TLS and scaling. "The key to scaling AI chatbots is separating memory, storage, and compute into independent services." — Engineering Best Practice ๐ ️ Step-by-Step Im…
