https://github.com/hiteshydv001/multi-rag-agent
Multi Rag Agent using gemini Website link: https://multi-rag-agent.vercel.app/
https://github.com/hiteshydv001/multi-rag-agent
agents gemini-api genai pyhton streamlit
Last synced: 9 months ago
JSON representation
Multi Rag Agent using gemini Website link: https://multi-rag-agent.vercel.app/
- Host: GitHub
- URL: https://github.com/hiteshydv001/multi-rag-agent
- Owner: mashrufmohd
- Created: 2025-02-02T05:02:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-21T19:01:07.000Z (over 1 year ago)
- Last Synced: 2025-04-10T12:05:55.923Z (about 1 year ago)
- Topics: agents, gemini-api, genai, pyhton, streamlit
- Language: TypeScript
- Homepage: https://multi-rag-agent-genai.streamlit.app/
- Size: 267 KB
- Stars: 2
- Watchers: 1
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
🚀 Multi-Agent RAG Tools
========================
🌟 Project Overview
-------------------
Welcome to **Multi-Agent RAG Tools**, a powerful AI-driven system designed to streamline complex workflows using multiple intelligent agents. Our system efficiently handles:
📌 **Text Summarization** ✍️ – Get concise summaries of any text, saving time and enhancing readability.📌 **Research Article Writing** 📝 – Generate and refine high-quality research articles with AI-driven assistance.📌 **Data Sanitization** 🛡️ – Ensure privacy and compliance by detecting and removing sensitive data.
This project employs **Retrieval-Augmented Generation (RAG)** and **Multi-Agent AI techniques** to divide complex tasks among specialized agents, improving efficiency, accuracy, and scalability.
### Preview:
#
📂 Project 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** 📚 – Generate concise summaries of any text, making it easier to digest information.
✅ **Write & Refine Research Articles** 🖋️ – AI-powered content generation that enhances writing quality.
✅ **Sanitize Data** 🔒 – Identify and remove sensitive or personally identifiable information for security and compliance.
#
🛠️ Installation Guide
----------------------
🔹 Clone the repository:
```
git clone https://github.com/Hiteshydv001/Multi-agent-RAG-tools.git
cd Multi-agent-RAG-tools
```
🔹 Install dependencies:
```
pip install -r requirements.txt
```
🚀 Running the Application
--------------------------
Run the **Streamlit application** with:
`
streamlit run app.py
`
🔹 Open the web interface in your browser and choose a task from the sidebar:
* 📚 **Summarize Text**
* 🖋️ **Write & Refine Research Articles**
* 🔒 **Sanitize Data**
#
🤖 Agents
---------
This system consists of multiple AI agents specialized for different tasks:
🔹 **SummarizeTool** 📜 – Extracts key points and condenses lengthy text into readable summaries.
🔹 **WriteArticleTool** ✍️ – Uses AI-driven techniques to generate well-structured research articles.
🔹 **SanitizeDataTool** 🔐 – Cleans data by removing confidential or sensitive information.
🔹 **RefinerAgent** 🛠️ – Enhances clarity, coherence, and overall quality of generated articles.
🔹 **ValidatorAgent** ✅ – Ensures research articles meet quality and relevance criteria.
🔹 **SummarizeValidatorAgent** 🔍 – Checks the accuracy and completeness of text summaries.
🔹 **SanitizeDataValidatorAgent** 🛡️ – Validates the effectiveness of data sanitization techniques.
#
🔗 Connect with Us!
-------------------
* 📌 [**LinkedIn**](https://www.linkedin.com/in/hitesh-kumar-aiml/)🔗
* 📌 [**GitHub**](https://github.com/Hiteshydv001)🔗
🎉 _Happy Coding!_ 🚀