Report mAIstro: Generate detailed reports on any customizable topic, such as business analysis, year-end reporting, etc.

General Introduction

Report mAIstro is a powerful tool designed to help users easily create customized reports through natural language processing technology. The tool utilizes LangChain technology to transform user-supplied topics and structures into detailed report content. Whether it's a market analysis, industry study, strategic case study or technology guide, the report generation tool efficiently generates high-quality reports that greatly save time and effort.

Report mAIstro Example of generating a report

Report mAIstro Implementation Logic

Report mAIstro relies on LangGraph workflow

Function List

• Customized Report Generation: Generate detailed reports based on user-supplied topics and structure.
• Multiple report types supported: including market analyses, industry studies, strategic case studies, and technical guides.
• Parallel Research: Utilize the Tavily API to conduct parallel web searches and speed up report generation.
• Structured Output: Generate structured Markdown files that are easy to read and share.
• User interaction: the user simply provides the topic and structure and the system generates the report.

Using Help

Installation process

1. Create a virtual environment and install dependencies:

   $ python3 -m venv report_maistro
   $ source report_maistro/bin/activate
   $ pip install -r requirements.txt
   

2. Configure the OpenAI API key:

   $ cp .env.example .env
   

3. Run Jupyter Notebook:

   $ cd ntbk
   $ jupyter notebook report_maistro.ipynb
   

Usage Process

1. Load the folder in LangGraph Studio.
2. Provide a description of the report structure as a configuration (optional).
3. Provide report topics and run charts to generate reports.

Main Functions

• Customized report generation: The user provides the report topic and structure, and the system will automatically generate the detailed report content.
• parallel study: The system utilizes the Tavily API for parallel web searches to quickly gather relevant information.
• Structured Output: The generated report is output as a Markdown file for easy reading and sharing.
• user interaction: The user only needs to provide the theme and structure, and the system can generate the report, which is easy to operate.

Detailed Operation Procedure

1. Providing themes and structure: The user provides a description of the subject and structure of the report in LangGraph Studio.
2. Generating reports: The system utilizes LLM for planning and research to generate detailed report content based on the topics and structure provided.
3. output report: The generated report is output as a Markdown file, which can be directly viewed and shared by users.

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