Multi-Agent RAG Tools

Project Overview

This project aims to demonstrate a Multi-Agent AI System that performs tasks related to:

• Text Summarization ✍️
• Research Article Writing 📝
• Data Sanitization 🛡️

Each agent is responsible for a specific task, ensuring that the multi-agent system efficiently handles complex workflows in areas like summarizing text, generating articles, and sanitizing data.

Project Structure

Directory structure:
└── mashrufmohd-multi-rag-agent/
    ├── README.md
    ├── app.py
    ├── requirements.txt
    ├── server.py
    ├── agents/
    │   ├── __init__.py
    │   ├── agent_base.py
    │   ├── refiner_agent.py
    │   ├── sanitize_data_tool.py
    │   ├── sanitize_data_validator_agent.py
    │   ├── summarize_tool.py
    │   ├── summarize_validator_agent.py
    │   ├── validator_agent.py
    │   ├── write_article_tool.py
    │   └── write_article_validator_agent.py
    ├── frontend/
    │   ├── README.md
    │   ├── components.json
    │   ├── eslint.config.mjs
    │   ├── next.config.ts
    │   ├── package-lock.json
    │   ├── package.json
    │   ├── postcss.config.mjs
    │   ├── tailwind.config.ts
    │   ├── tsconfig.json
    │   ├── .gitignore
    │   ├── public/
    │   └── src/
    │       ├── app/
    │       │   ├── globals.css
    │       │   ├── layout.tsx
    │       │   ├── page.tsx
    │       │   ├── sanitize/
    │       │   │   └── page.tsx
    │       │   ├── summarize/
    │       │   │   └── page.tsx
    │       │   └── write_article/
    │       │       └── page.tsx
    │       ├── components/
    │       │   ├── main-nav.tsx
    │       │   ├── theme-provider.tsx
    │       │   └── ui/
    │       │       ├── button.tsx
    │       │       ├── card.tsx
    │       │       ├── dialog.tsx
    │       │       ├── dropdown-menu.tsx
    │       │       ├── form.tsx
    │       │       ├── input.tsx
    │       │       ├── label.tsx
    │       │       ├── select.tsx
    │       │       ├── tabs.tsx
    │       │       ├── textarea.tsx
    │       │       ├── toast.tsx
    │       │       └── toaster.tsx
    │       ├── hooks/
    │       │   └── use-toast.ts
    │       └── lib/
    │           └── utils.ts
    └── utils/
        ├── __init__.py
        └── logger.py

Features

• Summarize Text: Summarize any provided text efficiently.
• Write and Refine Research Articles: Automatically generate and refine research articles.
• Sanitize Data: Clean and sanitize sensitive data for privacy.

Installation

1. Clone the repository:

   git clone https://github.com/Hiteshydv001/Multi-agent-RAG-tools.git
   cd Multi-agent-RAG-tools

2. Install dependencies:

   pip install -r requirements.txt

Running the Application

1. To run the Streamlit application, execute the following command:

   streamlit run app.py

2. Open the web interface in your browser and select a task from the sidebar:

   • Summarize Text 📚
   • Write and Refine Research Article 🖋️
   • Sanitize Data 🔒

Agents

The system is composed of the following agents:

1. SummarizeTool: Summarizes text efficiently.
2. WriteArticleTool: Generates research articles.
3. SanitizeDataTool: Sanitizes sensitive data.
4. RefinerAgent: Refines and improves research articles for clarity and quality.
5. ValidatorAgent: Validates the quality and relevance of research articles.
6. SummarizeValidatorAgent: Validates the quality and accuracy of text summaries.
7. SanitizeDataValidatorAgent: Ensures the sanitization of sensitive data is successful.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Connect with Me

• LinkedIn 🔗
• GitHub 🔗