Building a Full-Stack AI Chat Application
In this tutorial, we will build a complete AI chat application from scratch using modern technologies.
Tech Stack
- Frontend: React, TypeScript, Tailwind CSS
- Backend: Node.js, Express, LangChain
- AI: OpenAI GPT-4, LangChain
- Database: Supabase (PostgreSQL + pgvector)
Step 1: Project Setup
Create a new project with Vite and install dependencies for both frontend and backend.
Step 2: Building the Chat UI
Create a responsive chat interface with message history, typing indicators, and markdown rendering.
Step 3: LangChain Integration
Set up LangChain with memory and streaming for a responsive chat experience.
Step 4: Adding RAG Capabilities
Integrate vector search to give your chatbot access to custom knowledge.
Step 5: Deployment
Deploy to Vercel for the frontend and Railway for the backend.
Conclusion
You now have a production-ready AI chat application. Extend it with authentication, rate limiting, and custom prompts.
