IRIS-LLM

🚧 Active Development – Contributions are welcome!

Overview

IRIS-LLM is an AI-powered research assistant that gathers and synthesizes information into well-structured reports with citations. Designed for researchers, students, and professionals, it automates literature reviews, policy analysis, and content generation.

🔹 Features

✅ Automated Research – Collects and processes data from various sources
✅ Report Generation – Creates structured, citation-backed reports
✅ Customizable Output – Tailors content based on user preferences
✅ API-First – Easily integrates into other applications

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🚀 Getting Started

1️⃣ Clone the Repository

git clone https://github.com/yourusername/IRIS-LLM.git
cd IRIS-LLM/backend

2️⃣ Install Dependencies

python -m venv myenv  
source myenv/bin/activate  # Windows: myenv\Scripts\Activate  
pip install -r requirements.txt  

3️⃣ Run the API Server

uvicorn main:app --reload  

• API: http://127.0.0.1:8000
• Docs: http://127.0.0.1:8000/docs

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🐳 Docker Support

Pull the latest image from Docker Hub:

docker pull narendrakumar12/iris-llm:latest  

Docker Hub Repo →

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🔮 Roadmap

• ✅ Research automation with LLM
• ✅ Report export as a text file
• 🔜 Multi-source citation support
• 🔜 AI-driven summarization & bias detection
• 🔜 Web-based UI for easy access
• 🔜 Multiple model access
• 🔜 Memory access with storage

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