Deploy and Host Lobe Chat on Railway

Lobe Chat - An open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible plugin system. One-click FREE deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat application.

About Hosting Lobe Chat

Lobe Chat can be deployed with just one click and completed within 1 minute without any complex configuration. Users with their own domain can bind it to the platform for quick access to the dialogue agent from anywhere. All data is stored locally in the user's browser, ensuring user privacy throughout the chat experience.

Common Use Cases

• Private AI Chat Applications: Deploy personal ChatGPT/Claude/Gemini/Groq/Ollama chat applications with complete privacy control
• Multi-modal Conversations: Engage in conversations with visual recognition, text-to-speech, and speech-to-text capabilities
• Agent Development: Create and share custom AI agents through the Agent Market for specialized tasks and workflows

Dependencies for Lobe Chat Hosting

The Railway template includes the required Node.js runtime and web framework with pre-configured AI model integrations.

Deployment Dependencies

• Lobe Chat Documentation
• Using Ollama in LobeChat

Implementation Details

Multi-Model Service Provider Support:

Supported Model Service Providers include:

• AWS Bedrock: Integrated with AWS Bedrock service, supporting models such as Claude / LLama2, providing powerful natural language processing capabilities
• Anthropic (Claude): Accessed Anthropic's Claude series models, including Claude 3 and Claude 2, with breakthroughs in multi-modal capabilities and extended context
• Google AI (Gemini Pro, Gemini Vision): Access to Google's Gemini series models, including Gemini and Gemini Pro, to support advanced language understanding and generation
• ChatGLM: Added the ChatGLM series models from Zhipuai (GLM-4/GLM-4-vision/GLM-3-turbo), providing users with another efficient conversation model choice
• Moonshot AI (Dark Side of the Moon): Integrated with the Moonshot series models, an innovative AI startup from China, aiming to provide deeper conversation understanding
• Groq: Accessed Groq's AI models, efficiently processing message sequences and generating responses, capable of multi-turn dialogues and single-interaction tasks
• OpenRouter: Supports routing of models including Claude 3, Gemma, Mistral, Llama2 and Cohere, with intelligent routing optimization to improve usage efficiency
• 01.AI (Yi Model): Integrated the 01.AI models, with series of APIs featuring fast inference speed

Local Large Language Model (LLM) Support:

To meet the specific needs of users, LobeChat also supports the use of local models based on Ollama, allowing users to flexibly use their own or third-party models.

Core Features:

• Model Visual Recognition: LobeChat supports OpenAI's latest gpt-4-vision model with visual recognition capabilities, a multimodal intelligence that can perceive visuals. Users can easily upload or drag and drop images into the dialogue box
• TTS & STT Voice Conversation: LobeChat supports Text-to-Speech (TTS) and Speech-to-Text (STT) technologies, enabling the application to convert text messages into clear voice outputs with a variety of voice options
• Text to Image Generation: With support for the latest text-to-image generation technology, users can invoke image creation tools like DALL-E 3, MidJourney, and Pollinations directly within conversations
• Plugin System (Function Calling): The plugin ecosystem greatly enhances practicality and flexibility, allowing assistants to obtain real-time information, search documents, generate images, and interact with third-party services
• Agent Market (GPTs): A vibrant community marketplace where creators can discover well-designed agents and contribute their own developed agents
• Mobile Device Adaptation: Optimized designs for mobile devices to enhance user mobile experience with smoother and more intuitive interactions

Technical Features:

• Exquisite UI Design: Carefully designed interface with elegant appearance and smooth interaction. Supports light and dark themes and is mobile-friendly. PWA support provides a more native-like experience
• Smooth Conversation Experience: Fluid responses ensure smooth conversation experience. Fully supports Markdown rendering, including code highlighting, LaTex formulas, Mermaid flowcharts, and more

Why Deploy Lobe Chat on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Lobe Chat on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.