Go + HTMX + OpenAI: Create a Lightweight AI Chat Application

About this video

Building an Efficient LLM Chat Application with Go and HTMX In this video, I will guide you through building a large language model (LLM) chat application using Go and HTMX. Inspired by fellow YouTuber Web Dev Cody's frustrations with TypeScript and Next.js, I'm exploring how these alternatives can offer more resource-efficient solutions. I'll compare memory usage between a Next.js and Go-based chat application, provide setup instructions, and dive into the code step-by-step, including setting up WebSockets, integrating OpenAI, and deploying the app with Railway. Follow along and see the benefits and trade-offs of using Go and HTMX for your projects. Repo: https://github.com/developersdigest/llm-golang-htmx-chat Railway Referral Link: https://railway.app?referralCode=P2pUW5 00:00 Introduction to Building an LLM Chat Application 00:18 Why Go and HTMX? 02:43 Setting Up the Project 03:52 Creating the HTML Structure 07:51 Implementing WebSocket and JavaScript Logic 09:56 Building the Go Backend 16:00 Deploying to Railway 17:11 Conclusion and Final Thoughts