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Overview

The Automated Multi-Agent Research System is an advanced platform designed for generating comprehensive research reports. Leveraging a multi-agent architecture, this system automates the process of research report generation by integrating distinct agents with specialized roles. The project utilizes state-of-the-art technologies such as LangGraph, LangChain, and the OpenAI API to produce detailed reports in multiple formats including PDF, Markdown, and DOCX.

Features

  • Multi-Agent Architecture: The system consists of distinct agents that handle different aspects of the research report creation process:

    • Researcher: Gathers and curates research data.
    • Writer: Compiles the research data into a structured report.
    • Reviewer: Provides feedback on the draft report.
    • Reviser: Incorporates review feedback into the draft.
    • Publisher: Finalizes and publishes the report in various formats.

  • Output Formats: Generates reports in multiple formats, including:

    • PDF
    • Markdown
    • DOCX

Technologies Used

  • LangGraph: Used for managing and coordinating the multi-agent workflows.
  • LangChain: Facilitates seamless data processing and interaction between agents.
  • OpenAI API: Provides advanced natural language processing capabilities to enhance the report generation process.

Next Steps

  • Expand the multi-agent architecture to include more specialized roles for additional research tasks.
  • Incorporate more output formats such as LaTeX for academic publication-ready reports.
  • Enhance the system’s ability to interact with external databases for more comprehensive research gathering.
  • Develop a user-friendly interface to interact with the system and customize the research report parameters.