Lobe Chat

Product Description

LobeChat is an open-source, modern ChatGPT/LLMs user interface and framework. It supports advanced functionalities such as speech synthesis, multi-modal interactions, and an extensible plugin system. The platform enables one-click deployment of private AI chat applications with support for major AI models like OpenAI, Claude, Gemini, Groq, and more. Built with a focus on high performance, user-friendly design, and privacy, LobeChat caters to both developers and general users. Its versatility makes it suitable for a variety of industries, including customer support, education, and creative projects.

Features

• File Management: File Upload and Knowledge Base integration for easy management of documents, images, audio, and video files.
• Multi-Model Support: Connects with diverse AI service providers such as OpenAI, Anthropic, HuggingFace, Google, and AWS Bedrock.
• Local LLM Compatibility: Leverages local models like Ollama for custom AI deployments.
• Visual AI Features: Supports Model Visual Recognition through OpenAI’s GPT-4 Vision.
• Voice Interaction: Text-to-Speech (TTS) and Speech-to-Text (STT) for immersive voice-based conversations.
• Creative Tools: Text-to-Image generation using tools like DALL-E 3, MidJourney, and Pollinations.
• Plugin Ecosystem: Extensible Plugin System enabling real-time functionalities like web search, image generation, and data aggregation.
• Agent Marketplace: Access a variety of pre-built agents for specialized tasks.
• Data Management: Supports both Local and Remote Databases, ensuring flexibility and privacy.
• User Authentication: Multi-User Management with next-auth and Clerk for secure authentication.
• PWA Features: Progressive Web App with smooth transitions and cross-platform compatibility.
• Custom UI Options: Offers customizable themes, light/dark modes, and adaptable settings for personalized user experiences.

Technology Stack

• Frontend: React, Next.js, Progressive Web App (PWA) features
• Backend: Node.js, Docker, serverless architectures
• AI Integration: OpenAI API, Anthropic models, HuggingFace API, Google’s Gemini
• Database: PostgreSQL, Conflict-Free Replicated Data Type (CRDT) Local Database
• Deployment: Vercel, Docker, Alibaba Cloud, Zeabur, Sealos
• Other Tools: Speech-to-Text libraries, advanced Markdown rendering

Requirements

• OpenAI API Key (mandatory for AI model integration).
• Docker installation (optional for local deployment).
• Hosting platform credentials (e.g., Vercel, Alibaba Cloud) for remote deployment.
• Basic understanding of environment variable configuration for advanced setups.