Go + HTMX + OpenAI: Create a Lightweight AI Chat Application
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/l...
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
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