In this project, we will build a full stack app that works similar to ChatGPT and answers prompts and keeps the context throughout the conversation. We will use Vue.js with Pinia for state management, Node and Express on the backend with TypeScript. Stream for the chat featrues and a Neon PostgreSQL database to store users and chat logs. Stream Chat: https://getstream.io/chat/sdk/react/?utm_source=youtube&utm_medium=referral&utm_content=&utm_campaign=traversymedia Neon Database: https://fyi.neon.tech/1traversy Code (Node/Express Backend): https://github.com/bradtraversy/chat-ai-api Code (Vue.js Frontend): https://github.com/bradtraversy/chat-ai-ui Timestamps: 0:00 - Intro 2:43 - Documentation URLs 4:13 - Backend Init & Install Dependencies 7:56 - Backend TypeScript Config 10:03 - Express Server Setup 13:35 - /register-user Endpoint Setup 17:37 - Initialize Stream With API Keys 21:17 - Register User With Stream Chat 27:41 - /chat Endpoint & Open AI Init 42:49 - Neon PostgreSQL Database Setup 46:00 - Database Config & Neon Adapter 48:46 - Drizzle Schema 54:26 - Drizzle Config 57:31 - Database Migration 59:11 - Save Users In Neon PostgreSQL 1:04:58 - Save Chats In Neon PostgreSQL 1:09:38 - Get User Chat History 1:15:22 - Frontend Init & Install Dependencies 1:19:21 - TailwindCSS Setup & Clean Up 1:22:02 - Router & Page Setup 1:27:54 - Home Form Display 1:31:52 - Reactive Variables & Input Bind 1:37:24 - Pinia Initialization 1:39:19 - Pinia User Store 1:42:57 - Hook Up Home Form 1:50:02 - Header & Leave Chat/Logout 1:57:20 - Pinia Chat Store 2:01:45 - Load Chat History Function/Request 2:08:42 - Load Chat Into UI 2:17:50 - Send Message Function/Request 2:22:21 - Send Message Form 2:29:32 - Get Context Of Chat 2:37:37 - Format Output Text 2:40:52 - Backend API Deploy To Render 2:43:55 - Frontend Deploy To Vercel