Web Composite Search

Problems Being Solved

Effective information search in the domestic network environment faces specific challenges:
- Access Restrictions: International engines like Google are unavailable, and single domestic engines such as Baidu and Sogou have different focus areas, leading to fragmented information.
- Operation Complexity: For vertical domains like academia, finance, and technology, users must manually switch between platforms (e.g., ArXiv, East Money, GitHub), which is inefficient.
- Syntax Inconsistency: Advanced search syntax (e.g., site:, filetype:) has varying support across engines, increasing the learning curve.

How the Skill Works

Core Capabilities and Key Steps

This skill is an intelligent multi-engine aggregation search tool that achieves efficient retrieval through:
- Multi-engine Aggregation: Integrates 25+ engines covering general (Baidu, Sogou), academic (ArXiv, Wikipedia), financial (East Money), technical (Stack Overflow, GitHub), and social media (Sogou WeChat) domains.
- Intelligent Routing: Automatically selects engine combinations based on query intent. For example, searching "碳中和技术" might route to Baidu, ArXiv, and GitHub simultaneously.
- Domestic Optimization: All engines are directly accessible within China with zero proxy dependency, using optimized network paths for stability.
- Advanced Syntax Support: Uniformly handles site:, filetype:, intitle:, inurl: syntax, so users don't need to memorize engine-specific differences.
- Smart Deduplication: Employs a three-layer strategy—URL normalization, title similarity calculation, and content fingerprint comparison—to reduce redundant results.
- Automatic Degradation: When an engine fails, it automatically switches to a backup engine to maintain search continuity.

Execution Flow:
1. Receives user queries (e.g., python scripts/search.py "区块链应用").
2. Determines engine combinations via intent analysis, such as invoking Baidu, Bing, and GitHub simultaneously.
3. Executes search requests in parallel, with domestic engines accessed directly and international engines via optimized paths.
4. Applies deduplication algorithms to filter results and ranks them by relevance.
5. Returns structured JSON data to the user.

Applicability and Notes

• Engine Dependency: Results rely on the stability of upstream search engines; API changes in Baidu or ArXiv may affect search quality.
• Network Fluctuations: Access speed for international engines like DuckDuckGo may vary with network conditions.
• Query Limitations: For highly specialized long-tail queries (e.g., "量子计算实验数据"), aggregation search may not cover all niche resources; combining with domain-specific platforms is recommended.
• Real-time Constraints: Search engine indexing has delays, making it unsuitable for real-time monitoring but ideal for general information retrieval.
• Syntax Support: While it uniformly handles advanced syntax, some engines may ignore specific parameters, so users should note result variations.