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web-research-graph

A LangGraph-based workflow for conducting web research and generating structured content.

  • 0.0.5
  • PyPI
  • Socket score

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BREEZE (Balanced Research and Expert Engagement for Zonal Exploration)

A streamlined research system that generates comprehensive Wikipedia-style articles through multi-perspective expert engagement and focused topic exploration.

Overview

BREEZE is inspired by STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) developed by Shao et al. While STORM focuses on broad research capabilities, BREEZE refines this approach specifically for Wikipedia-style article generation with:

  • Streamlined architecture focused on article generation
  • Enhanced topic validation and scoping
  • Structured expert interview process
  • Robust citation handling and fact-checking

Features

  • Balanced Multi-Perspective Research:

    • Simulates conversations between diverse subject matter experts
    • Ensures comprehensive coverage of different viewpoints
    • Maintains neutrality in topic exploration
  • Expert Interview System:

    • Conducts focused interviews with AI experts
    • Gathers detailed information and citations
    • Validates information through cross-referencing
  • Structured Article Generation:

    • Creates well-organized articles with:
      • Clear section outlines
      • Proper citations and references
      • Consistent writing style
      • Wikipedia-style formatting
  • Zonal Topic Exploration:

    • Efficiently scopes and defines research boundaries
    • Maintains focus on relevant subject areas
    • Ensures appropriate depth of coverage

How It Works

  1. Topic Input and Validation

    • Submit your research topic
    • System validates and scopes the subject area
    • Establishes clear research boundaries
  2. Research and Synthesis

    • Generates structured outline
    • Creates expert personas for different perspectives
    • Conducts targeted expert interviews
    • Refines outline based on gathered insights
  3. Article Generation

    • Writes section drafts
    • Integrates expert insights
    • Adds proper citations
    • Delivers polished final article

Example Topics

  • Technical: "Impact of Large Language Models on Software Development"
  • Business: "The Rise of AI-Powered Customer Service"
  • General: "History and Evolution of Electric Vehicles"

Limitations

  • Quality depends on available online sources
  • May require topic refinement for very broad subjects
  • Citations limited to publicly accessible sources

Credits

BREEZE builds upon the innovative foundation laid by STORM (Shao et al.), as documented in the LangGraph documentation. We've refined their approach of outline-driven research and multi-perspective conversations while adding specialized enhancements for Wikipedia-style article generation.

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