Lobe Chat

An open-source, modern-design AI chat framework supporting multiple AI providers (OpenAI, Claude 3, Gemini, Ollama, Qwen, DeepSeek), knowledge base, multi-modals, and one-click free deployment.

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What is Lobe Chat

Lobe Chat is an open-source, modern-design AI chat framework that supports multiple AI providers including OpenAI, Claude 3, Gemini, Ollama, Qwen, and DeepSeek. It features a knowledge base for file uploads and RAG capabilities, multi-modal functionalities (vision, TTS, plugins), and offers one-click free deployment of private ChatGPT/Claude applications. With over 52k stars on GitHub, it offers an elegant, user-friendly interface with both light and dark themes, mobile responsiveness, and PWA support for a native-like experience.

How to Use

Enjoy a seamless experience across desktop and mobile devices with the Progressive Web App functionality, allowing installation on your home screen for quick access.

Step 1: Deployment

Deploy with one click using Vercel, Zeabur, Sealos, or Docker following the documentation's detailed instructions.

Step 2: Configuration

Configure API keys for your preferred AI providers including DeepSeek, OpenAI, Claude, or other supported models.

Step 3: Interface Setup

Customize your interface with preferences for themes, language, and conversation settings.

Step 4: Knowledge Base

Upload documents to create a knowledge base for enhanced AI responses using RAG capabilities.

Step 5: Start Chatting

Begin conversations with your selected AI models, switching between providers as needed for different tasks.

Core Features

Multi-Provider Support

Compatible with various AI services including OpenAI, Claude 3, Gemini, Ollama, Qwen, DeepSeek and more through a unified interface.

Knowledge Base with RAG

Upload files, manage knowledge, and leverage Retrieval Augmented Generation for more accurate, contextually relevant responses.

Multi-Modal Capabilities

Support for vision analysis, text-to-speech conversion, plugins, and other artifacts extending beyond text-only interactions.

One-Click Deployment

Simplified deployment process for creating private AI chat applications without extensive technical knowledge.

Modern UI Design

Elegant interface with light and dark themes, responsive design, and thoughtful user experience optimizations.

Progressive Web App

Install as a native-like application on desktop and mobile devices with offline capabilities and improved performance.

Integration Capabilities

DeepSeek AI Integration

Native support for DeepSeek models with optimized prompting and response handling within the unified interface.

Multi-Model Switching

Seamlessly switch between different AI providers for specialized tasks without changing applications.

Plugin Ecosystem

Extend functionality through plugins for web browsing, image generation, code execution, and other capabilities.

Document Processing

Process and analyze various document formats to extract information and enhance AI conversation context.

Cloud Synchronization

Option to synchronize conversations and settings across devices when deployed with authentication.

API Extensibility

Framework designed for extending to new AI providers and services as they become available.

Use Cases

Personal Assistant

Use as a daily AI assistant with multi-model capabilities for various tasks from content creation to information retrieval.

Research Tool

Utilize the knowledge base feature for research and document analysis with context-aware AI responses.

Content Creation

Generate and refine content with support for multiple AI providers optimized for different creative tasks.

Learning Platform

Explore different AI models and their capabilities in one interface, comparing responses for educational purposes.

FAQ

Q: How do I deploy Lobe Chat?

A: You can deploy Lobe Chat with one click using Vercel, Zeabur, Sealos, or Docker. Documentation provides detailed instructions for each method, making it accessible even for users with limited technical experience.

Q: Which AI models are supported?

A: Lobe Chat supports multiple AI providers including OpenAI (GPT models), Anthropic (Claude), Google (Gemini), Ollama (local models), Qwen, DeepSeek, and more. The list is continually expanding with regular updates.

Q: Is Lobe Chat free to use?

A: Yes, Lobe Chat is open-source under the Apache 2.0 license. You can deploy and use it for free, though you may need API keys for the various AI providers which may have their own pricing models.

Q: Does it support mobile devices?

A: Yes, Lobe Chat features a responsive design and supports Progressive Web App (PWA) functionality for a more native-like experience on mobile devices. You can install it on your home screen for quick access.

Q: How does the knowledge base work?

A: The knowledge base feature allows you to upload documents which are processed and indexed. When you ask questions, the system uses Retrieval Augmented Generation (RAG) to find relevant information from your documents and incorporate it into the AI's responses.