Zeppa Search Engine

A high-performance, open-source search engine with C++ integration, real-time crawling, and AI-powered relevance scoring.

Overview

Zeppa Search Engine is a modern, scalable search solution that combines the power of C++ for performance-critical operations with Node.js for rapid development and deployment. Built with real-time crawling, semantic analysis, and machine learning capabilities, it provides fast, relevant search results across web content, documents, and structured data.

C++ Performance

Real-time Indexing

AI Relevance

Web Crawling

System Architecture

C++ Core Engine

High-performance components written in C++ handle computationally intensive tasks including text processing, indexing, and search algorithms.

• Multi-threaded crawling engine
• Advanced HTML parsing
• Semantic analysis algorithms
• Real-time relevance scoring
• Connection pooling and HTTP/2 support

Node.js API Gateway

RESTful API layer built with Express.js provides easy integration, authentication, rate limiting, and analytics capabilities.

• RESTful API endpoints
• JWT authentication
• Rate limiting and security
• Real-time analytics
• Admin dashboard

Data Processing Pipeline

Intelligent data processing with query understanding, personalization, and real-time index updates for optimal search quality.

• Query analysis and optimization
• User personalization
• Real-time index updates
• Educational content detection
• Performance metrics tracking

Advanced Features

Cutting-edge features including image search, voice search, health monitoring, and configuration management for enterprise deployment.

• Image and voice search
• System health monitoring
• Configuration management
• Analytics and reporting
• Docker containerization

How Zeppa Search Engine Works

Web Crawling & Discovery

Multi-threaded crawlers discover and fetch web pages, respecting robots.txt and implementing intelligent rate limiting. The system uses advanced HTML parsing to extract meaningful content while filtering out navigation, ads, and other non-essential elements.

Content Processing & Analysis

Raw content undergoes semantic analysis, keyword extraction, and relevance scoring. The system identifies educational content, detects language, and applies machine learning algorithms to understand context and meaning.

Indexing & Storage

Processed content is indexed using optimized data structures for fast retrieval. The system maintains multiple indexes for different content types and implements real-time updates to keep search results current.

Query Processing & Results

User queries are analyzed for intent, expanded with synonyms, and matched against indexed content. Results are ranked using multiple factors including relevance, freshness, and user personalization preferences.

Data Handling & Privacy

Data Collection

The search engine collects and processes web content through ethical crawling practices, respecting website policies and implementing responsible data handling.

• Respects robots.txt directives
• Implements rate limiting
• Stores only essential content
• Maintains data freshness
• Provides opt-out mechanisms

Privacy & Security

User privacy is protected through anonymized search queries, encrypted data storage, and transparent data handling practices.

• Anonymized user data
• Encrypted data storage
• GDPR compliance ready
• Secure API endpoints
• Regular security audits

Data Processing

Advanced algorithms process and analyze content to extract meaningful information while maintaining data quality and relevance.

• Natural language processing
• Content deduplication
• Quality scoring
• Real-time updates
• Performance optimization

Storage & Performance

Optimized storage systems ensure fast query response times while maintaining data integrity and scalability.

• In-memory caching
• Compressed storage
• Distributed indexing
• Backup and recovery
• Horizontal scaling

Technology Stack

Backend Technologies

• C++17/20 for core engine
• Node.js & Express.js for API
• MongoDB for data storage
• Redis for caching
• Elasticsearch for indexing
• Docker for containerization

Libraries & Frameworks

• nlohmann/json for JSON handling
• cURL for HTTP requests
• Boost libraries
• OpenSSL for encryption
• Cheerio for HTML parsing
• Fuse.js for fuzzy search

Development Tools

• CMake for C++ builds
• npm/yarn for Node.js
• Git for version control
• ESLint for code quality
• Jest for testing
• GitHub Actions for CI/CD

Contributing to Development

Zeppa Search Engine is an open-source project that welcomes contributions from developers, researchers, and enthusiasts worldwide. Whether you're interested in improving performance, adding new features, or fixing bugs, there are many ways to contribute.

Getting Started

• Fork the repository on GitHub
• Set up your development environment
• Read the contribution guidelines
• Join our community discussions
• Start with beginner-friendly issues

Areas for Contribution

• C++ core engine optimization
• API endpoint development
• Frontend interface improvements
• Documentation and tutorials
• Testing and quality assurance

Development Setup

# Clone the repository
git clone https://github.com/KetiveeAI/ZepraSearch
cd ZepraSearch

# Install dependencies
npm install

# Build C++ components
npm run build-cpp

# Start development server
npm run dev

Performance & Scalability

Performance Metrics

• Sub-100ms query response times
• 10,000+ concurrent users supported
• 99.9% uptime SLA
• Real-time index updates
• Efficient memory usage

Scalability Features

• Horizontal scaling support
• Load balancing capabilities
• Distributed crawling
• Auto-scaling configurations
• Cloud deployment ready

API Integration

Integrate Zeppa Search Engine into your applications with our comprehensive REST API that provides access to all search capabilities.

Search Endpoints

• POST /api/search - Basic search
• POST /api/search/advanced - Advanced search
• GET /api/search/suggestions - Auto-complete
• POST /api/search/image - Image search
• POST /api/search/voice - Voice search

Management Endpoints

• GET /api/admin/status - System status
• POST /api/admin/crawl - Start crawling
• GET /api/admin/analytics - Usage analytics
• POST /api/admin/config - Update configuration
• GET /api/admin/health - Health monitoring

Quick Start Example


// Search for content
const response = await fetch('https://api.ketivee.com/search', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    query: 'artificial intelligence',
    limit: 10,
    filters: { type: 'educational' }
  })
});
const results = await response.json();

Community & Support

Get Involved

Support Channels

• GitHub Issues for bug reports
• GitHub Discussions for questions
• Stack Overflow with #zeppa-search tag
• Email support for enterprise users
• Live chat during business hours

Development Roadmap

Short Term (Q1 2024)

• Enhanced C++ performance
• Improved API documentation
• Better error handling
• Additional search filters
• Mobile app SDK

Medium Term (Q2-Q3 2024)

• Machine learning integration
• Multi-language support
• Advanced analytics dashboard
• Cloud deployment options
• Enterprise features

Long Term (Q4 2024+)

• AI-powered content generation
• Blockchain integration
• Global CDN deployment
• Advanced personalization
• Research partnerships

Ready to Get Started?

Join the Zeppa Search Engine community and help us build the future of search technology.

View on GitHub API Documentation