rag-chat-component
This React component integrates RAG AI for chat functionality in Next.js apps, offering stream response, context retrieval, and customizable UI with dark/light modes.
English
English
What is the RAG React component?
The RAG React component is designed for integrating retrieval-augmented generation (RAG) AI capabilities into Next.js applications. It uses Upstash Vector for similarity searches, Together AI as the large language model (LLM), and Vercel AI SDK for streaming responses. This component simplifies the development process by providing an easy way to add intelligent chat functionalities.
Key Features:
Supports stream responses for real-time interaction.
Responsive design suitable for various devices.
Real-time context retrieval for accurate answers.
Persistent chat history across sessions.
Customizable UI components to meet individual needs.
Dark and light mode support for different scenarios.
Target Audience:
Developers who need to integrate smart chat features into their web applications quickly, especially those using Next.js.
Usage Scenarios:
Integrate into Next.js projects to offer intelligent customer service.
Combine with Upstash Vector and Together AI for a knowledge-based question and answer system.
Implement in enterprise applications for employee self-service support.
Installation Guide:
1. Install the component using npm, pnpm, or yarn.
2. Configure environment variables for Upstash Vector, Redis, OpenAI, and Together AI APIs.
3. Add component styles in tailwind.config.ts.
4. Import and use ChatComponent in your Next.js project.
5. Customize the component according to your requirements, such as choosing different AI models.
