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Aohaihua - Next Generation AI-Powered Search Engine

Project Overview

Aohaihua is an innovative AI-powered search engine that combines the breadth of traditional search engines with the intelligent analysis capabilities of AI. It's not just a search tool, but an intelligent information processing platform.

Technical Architecture

Frontend Stack

  • Framework: Next.js 14.2.5 (React)
  • UI Components: Custom Component Library
  • State Management: React Hooks
  • Styling: Tailwind CSS

Backend Stack

  • Runtime: Bun (High-performance JavaScript runtime)
  • Search Engine: SearXNG (Multi-source aggregated search)
  • Caching System: Redis
  • Containerization: Docker & Docker Compose
  • API Integration: OpenAI, Tavily (optional)

Core Features

  1. Multi-Source Search Engine Aggregation

    • Google, Bing, DuckDuckGo, and other mainstream search engines
    • Wikipedia knowledge base integration
    • GitHub code search
    • Custom search source configuration
  2. AI-Enhanced Features

    • OpenAI-powered intelligent analysis
    • Natural language query processing
    • Context-aware search result optimization
    • Intelligent code snippet parsing
  3. High-Performance Caching

    • Redis distributed caching
    • Intelligent caching strategies
    • High concurrency support
  4. User Interface Features

    • Responsive design
    • Dark mode support
    • Code syntax highlighting
    • Real-time search suggestions

Technical Highlights

  1. High-Performance Architecture

    • Docker containerized deployment
    • Microservices architecture design
    • Distributed caching support
    • Asynchronous processing
  2. Security

    • Environment variable management
    • API key protection
    • Request rate limiting
    • Safe search options
  3. Scalability

    • Modular design
    • Pluggable search engines
    • Configurable AI providers
    • Flexible deployment options
  4. Developer-Friendly

    • Comprehensive documentation
    • Clear code structure
    • Containerized development environment
    • Simple configuration management

Deployment

  1. Local Development

    docker compose up -d
  2. Production Environment

    • Google Cloud Run support
    • Containerized deployment
    • Environment variable configuration
    • Monitoring and logging system

Key Advantages

  1. Intelligent Search

    • AI-driven result ranking
    • Multi-source data aggregation
    • Real-time content analysis
    • Personalized search results
  2. Privacy Protection

    • No-tracking search
    • Local deployment option
    • Encrypted data transmission
    • User data protection
  3. High Customization

    • Custom search sources
    • Configurable AI models
    • Interface theme customization
    • Search parameter adjustment
  4. Developer Tools

    • Code search integration
    • API documentation
    • Developer console
    • Debugging tools

Use Cases

  1. Enterprise Internal Search

    • Knowledge base search
    • Document management
    • Code repository search
  2. Research Tool

    • Academic material search
    • Multi-source data analysis
    • Literature review
  3. Developer Platform

    • Technical documentation search
    • Code example lookup
    • API reference

Future Roadmap

  1. Feature Expansion

    • Additional AI model support
    • Advanced analytics tools
    • Custom plugin system
  2. Performance Optimization

    • Search speed improvements
    • Cache strategy optimization
    • Resource usage optimization
  3. Ecosystem

    • API marketplace
    • Plugin store
    • Developer community

Conclusion

Aohaihua represents the next generation of search engines, providing a more intelligent and precise search experience by combining AI technology with traditional search engine advantages. Its open architecture and powerful extensibility make it an ideal choice for building modern search applications.

Getting Started

Prerequisites

  • Docker and Docker Compose
  • Node.js 18+ (for local development)
  • Bun runtime

Installation

  1. Clone the repository

    git clone https://github.com/yourusername/aohaihua.git
  2. Set up environment variables

    cp .env.example .env.local
  3. Start the development environment

    docker compose up -d
  4. Access the application

Contributing

We welcome contributions! Please read our contributing guidelines before submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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