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    Building a Full-Stack AI Chat Application with React and LangChain

    Step-by-step tutorial to build a production-ready AI chatbot with React, TypeScript, and LangChain.

    SkilliHire Team
    Jan 6, 202615 min read
    Building a Full-Stack AI Chat Application with React and LangChain

    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.

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