-ai-web

Building AI-powered web interfaces is the next evolution of web development. Users expect conversational experiences, real-time AI responses, and intelligent interactions. Creating chat interfaces, streaming LLM responses, and managing AI conversation state is complex, but not anymore.

g-ai-web provides pre-built AI components so you can focus on what matters: creating exceptional conversational experiences and intelligent user interfaces.

Modern web applications need AI capabilities—chat interfaces, streaming responses, voice input, AI-powered search. Building these from scratch takes months of specialized development. With g-ai-web, you get production-ready AI components that integrate seamlessly with your g-ai-api backend, allowing you to deploy intelligent web experiences in days, not months.

g-ai-web comes in 2 modern frameworks optimized for AI:

g-ai-web React Built with React and TypeScript, perfect for building sophisticated AI chat interfaces, streaming LLM responses, and conversational UX with component reusability and strong typing.

g-ai-web Vue Based on Vue.js with reactive data binding, ideal for real-time AI applications where conversation state updates instantly across components as users interact with AI agents.

With g-ai-web you get all these AI-powered benefits:

  • Pre-built chat interface components with streaming LLM responses, message history, and conversational memory management

  • Real-time AI state management that synchronizes conversation context, user inputs, and AI responses across your application

  • Optimized streaming protocols that efficiently handle LLM token streams, reducing latency and providing smooth real-time AI responses

  • Seamless integration with g-ai-api for LLM processing, RAG systems, and AI agents, with modern responsive UI components

  • Modular AI component architecture that allows you to easily customize prompts, swap LLM providers, and extend conversational capabilities

  • Built-in support for voice input, file uploads to AI, markdown rendering, code syntax highlighting, and other conversational UI patterns