Vectaix-AI

**Multi-Model AI Chat Platform for Conversations, Web Search, and Media Creation**
[](https://nextjs.org/) [](https://react.dev/) [](https://www.mongodb.com/) [](https://zeabur.com/) [](LICENSE)
[**English**](README.md)  |  [**简体中文**](README_ZH.md)  |  [**日本語**](README_JA.md)

OpenAI	Anthropic	Google	xAI
Alibaba Cloud	Alibaba Cloud	Moonshot AI	Alibaba Cloud

Overview

Vectaix AI is a production-grade, multi-model AI chat platform that unifies leading language models under a single, elegant interface. Rather than locking users into one AI provider, Vectaix gives you the freedom to switch between frontier models.

Features

🤖 Multi-Model Intelligence

Access 7 chat models through a unified interface. Switching models starts a new topic so each model keeps a clean, independent context.

Dedicated media models:

🌐 Web Browsing & Search

Real-time access to the internet with intelligent multi-round browsing capabilities.

• Smart Search — Discover fresh, relevant sources with Firecrawl Search
• Page Crawling — Extract selected pages as clean Markdown with Firecrawl Scrape
• Multi-Page Browsing — Crawl multiple pages in a single session
• Inline Citations — Every claim backed by traceable source references

📎 Private Multimodal Files

Upload private media files stored on the Zeabur mounted disk.

✨ Polished User Experience

Architecture

vectaix-ai/
├── app/
│   ├── api/
│   │   ├── chat/             # Multi-provider chat
│   │   ├── auth/             # Authentication endpoints
│   │   ├── conversations/    # Conversation CRUD
│   │   ├── media/            # Image/video generation
│   │   ├── upload/           # Private disk file upload
│   │   └── admin/            # Admin management
│   ├── components/           # React UI components
│   │   ├── chat/             # Chat input & model selector
│   │   ├── message/          # Message display components
│   │   │   ├── MessageList.js
│   │   │   └── ...
│   └── ChatApp.js            # Root application component
├── lib/
│   ├── client/               # Client-side utilities
│   │   ├── chat/             # Chat actions & runtime
│   │   └── hooks/            # React hooks (theme, settings)
│   ├── server/               # Server-side logic
│   │   ├── chat/             # Provider adapters, config, prompts
│   │   ├── webBrowsing/      # Web search & crawl engine
│   │   ├── storage/          # Mounted-disk storage service
│   │   └── conversations/    # Conversation storage logic
│   └── shared/               # Shared constants & types
│       ├── models.js         # Model definitions & capabilities
│       ├── attachments.js    # File type handling
│       └── webSearch.js      # Search configuration
├── models/                   # Mongoose schemas
│   ├── User.js
│   ├── Conversation.js
│   └── StoredFile.js
└── public/                   # Static assets

Tech Stack

Next.js 16

React 19

Tailwind CSS

MongoDB

Node.js

Getting Started

Prerequisites

• Zeabur project connected to the Git repository
• MongoDB instance
• API keys for at least one AI provider

Deploy on Zeabur

1. Create a service from the Git repository with Deploy your source code. Zeabur will automatically recognize the Next.js project and run its npm build/start scripts.
2. Create a persistent volume named vectaix-data and mount it at /data.
3. Set the HTTP port to 3000 and the health check path to /api/health.
4. Add the environment variables below, then redeploy.

Environment Variables

[!TIP] Configure the key for every model or feature you enable. Missing keys return a clear configuration error.

License

This project is licensed under the MIT License.

### ⭐ Star History

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