Multi-Agent Research System

A fully automated, multi-agent AI research pipeline that gathers, analyzes, and drafts complete research reports. It is built using Python, LangChain, and Streamlit, and powered by Groq's Llama 3 engine for incredibly fast reasoning.

Tech Stack

• Languages: Python
• Frameworks & Libraries: Streamlit, LangChain, Pandas, Groq API

Features

• Multi-Agent Architecture: Uses distinct agents for searching, deep-reading (scraping), writing, and critiquing.
• Fast Generation: Uses Groq API and llama-3.3-70b-versatile under the hood.
• Modern UI: Clean and stylish web interface provided by Streamlit.

Setup Instructions

1. Clone the repository
2. Install the required dependencies:

   pip install -r requirements.txt

3. Create a .env file in the root directory with your API keys:

   GROQ_API_KEY=your_groq_api_key_here
   TAVILY_API_KEY=your_tavily_api_key_here

4. Run the Streamlit application:

   streamlit run app.py