Tuxedo Search Engine Project

[##Tuxedo is a high-performance hybrid search engine]

Project Overview

Tuxedo is a high-performance hybrid search engine designed for instantaneous information retrieval, with a target response time of ≤0.405 seconds. It combines Python's flexibility with C's performance and assembly optimizations to achieve ultra-fast search capabilities.

Key Technical Features

• Hybrid Architecture: Python for high-level operations, C for core functionality, and Assembly for critical path optimizations
• SIMD Acceleration: Utilizes AVX-512 instructions for parallel pattern matching and string operations
• Multi-Level Caching: Progressive response system with L1/L2/Redis caching layers
• Fuzzy Matching: Enhanced fuzzy search capabilities using optimized algorithms
• Memory Management: NUMA-aware memory operations with specialized pools for different allocation sizes

Core Components

1. Query Processor

   • Progressive response generation
   • Intelligent query routing
   • Real-time result ranking

2. Pattern Matcher

   • SIMD-optimized string matching
   • Approximate matching with Assembly acceleration
   • Parallel pattern processing

3. Cache System

   • Sub-millisecond L1 cache
   • Distributed L2 cache with Redis
   • Predictive cache warming

4. Result Optimizer

   • Real-time result ranking
   • Context-aware scoring
   • Parallel result merging

Performance Targets

• Initial response: ≤0.405 seconds
• Query processing: ≤0.1ms for exact matches
• Cache hit latency: ≤0.05ms
• Memory efficiency: Optimized for modern CPU architectures

Current Status

In active development with focus on:

• Core SIMD optimizations
• Cache system refinement
• Query processing improvements
• Performance monitoring implementation

Project aims to provide lightning-fast search capabilities while maintaining accuracy and relevance in results.