Deep Web Research
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
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Deep Web Research enhances the capabilities of LLMs like Claude by providing a robust web research backend. It features an intelligent search queue system for batch operations, enhanced content extraction using TF-IDF and keyword proximity analysis, and core functionalities such as Google search integration and structured data extraction. By providing real-time information, this tool allows Claude to conduct thorough, in-depth research, making it ideal for tasks that require comprehensive web analysis and understanding.
Características Principales
- Enhanced content extraction with TF-IDF based relevance scoring and keyword proximity analysis
- Agentic research prompt for guided web research
- Google search integration and webpage content extraction
- 46 GitHub stars
- Intelligent search queue system with rate limiting and progress tracking
- Visit webpage tool with markdown conversion
Casos de Uso
- Comprehensive research on complex topics
- Real-time information gathering for LLM prompts
- Enhanced content analysis and understanding