Deep Research
Last Updated on: Nov 3, 2025
Deep Research
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What is Deep Research?
Deep Research is an AI-powered research assistant designed to perform iterative and in-depth exploration of any topic. It combines search engines, web scraping, and large language models to refine its research direction over multiple iterations. The system generates targeted search queries, processes results, and dives deeper based on new findings, producing comprehensive markdown reports with detailed insights and sources. Its goal is to facilitate deep understanding and knowledge discovery while keeping the implementation simple—under 500 lines of code—making it accessible for customization and building upon. Deep Research aims to streamline complex research processes through automation and intelligent analysis.
Who can use Deep Research & how?
  • Researchers & Scholars: Conduct thorough investigations on complex topics.
  • Students: Gather detailed insights and references for academic projects.
  • Content Creators: Develop in-depth articles and reports on niche subjects.
  • Data Analysts: Extract and process web content for deep analysis.
  • Developers: Customize and extend the system for specific research workflows.

How to Use Deep Research?
  • Clone the Repository: Download the code from GitHub and set up locally.
  • Configure Environment: Add API keys for Firecrawl and OpenAI, and customize settings.
  • Start the System: Run the main script and input your research query, along with breadth and depth parameters.
  • Review the Report: The system will generate a markdown file summarizing all findings and sources.
What's so unique or special about Deep Research?
  • Iterative Deep Exploration: Continuously refines research with multiple cycles.
  • Combines Search & Scraping: Uses both SERPs and web scraping for comprehensive results.
  • Configurable Depth & Breadth: Easily control the scope of research.
  • Generates Human-Readable Reports: Outputs organized markdown summaries.
  • Lightweight & Understandable: Designed to be simple, under 500 lines of code for easy customization.
Things We Like
  • In-depth, iterative research capabilities save time and effort.
  • Combines search engine data with web scraping for thorough results.
  • Simple, lightweight codebase promoting easy understanding and modification.
  • Generates detailed markdown reports with clear references.
Things We Don't Like
  • Requires setup with multiple API keys and environment variables.
  • May produce limited results with free or rate-limited APIs.
  • No GUI interface; operates via command line, requiring technical skills.
  • Requires manual review of generated reports for accuracy and completeness.
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FAQs

Deep Research is an AI system designed for iterative, detailed exploration of topics by combining search engines, web scraping, and large language models.
It generates search queries, processes results, refines focus, and recursively dives deeper, producing comprehensive reports.
Yes, the system can be tailored by adjusting parameters like depth, breadth, and API configurations.
It supports Firecrawl for web search/content extraction and OpenAI models for language processing.
It requires some setup and command-line operation, making it more suitable for users with technical background.

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