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Rag Chat Component
Overview :
This product is a React component specifically designed for RAG (Retrieval-Augmented Generation) AI assistants. It combines Upstash Vector for similarity searching, Together AI as the LLM (Large Language Model), and Vercel AI SDK for streaming responses. This modular design enables developers to rapidly incorporate RAG capabilities into Next.js applications, greatly simplifying the development process while providing high customizability. Key advantages include responsive design, support for streaming responses, persistent chat history, and dark/light mode support. The component primarily targets developers looking to integrate intelligent chat functionality into Web applications, particularly those working with the Next.js framework, streamlining the integration process and reducing development costs while delivering powerful capabilities.
Target Users :
This product is ideal for developers who need to quickly integrate intelligent chat functionality into Web applications, especially teams using the Next.js framework. It simplifies the integration process, reduces development costs, and offers robust features.
Use Cases
Integrate this component into a Next.js project to provide intelligent customer service features.
Combine Upstash Vector and Together AI to create a knowledge Q&A system.
Integrate into internal enterprise applications to provide employee self-service support.
Features
Supports streaming responses for real-time interactive experiences
Responsive design adaptable to various devices
Real-time context retrieval for accurate answers
Persistent chat history supporting cross-session dialogues
Fully customizable UI components to meet personalized needs
Supports dark/light mode to suit different usage scenarios
How to Use
1. Install the component: Use npm, pnpm, or yarn to install @upstash/rag-chat-component.
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2. Configure environment variables: Set up environment variables for Upstash Vector, Redis, OpenAI, and Together API.
3. Configure styles: Add the component's style configuration in the tailwind.config.ts file.
4. Integrate the component: Import and use ChatComponent in your Next.js project.
5. Customize functionality: Adjust component styles and features according to your needs, such as selecting different AI models.
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