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Using language models to derive specific search terms from goals and existing data.
Distinct from Search-Enhanced Generation: Generates web search terms for exploration, whereas search-enhanced generation focuses on producing the final response.
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This project is an AI research tool designed for autonomous web information gathering and automated topic research. It utilizes agent orchestration to combine search engines and web scraping, enabling the system to discover detailed information and build a comprehensive understanding of complex subjects without manual step-by-step guidance. The tool employs an iterative research execution model that recursively generates targeted search queries and refines directions based on previous results. It includes a feedback loop that compares current findings against initial objectives to identify kn
Uses LLMs to dynamically generate precise search queries based on research objectives and gathered findings.