README.md

Intelligent AI Search Engine Agent 🤖🔎

An intelligent agentic search engine powered by Groq's Llama3-8b, Streamlit, and multi-source search tools (DuckDuckGo, Arxiv, Wikipedia). Built with LangChain for robust AI agent orchestration.

Features ✨

• Multi-Source Search: Integrates 3 powerful tools:
  • 🦆 DuckDuckGo (web search)
  • 📚 Arxiv (scientific papers)
  • 🌐 Wikipedia (encyclopedic knowledge)
• Groq-Powered AI: Utilizes Groq's ultra-fast Llama3-8b model
• Smart Agent Optimization:
  • Auto-stop when sufficient information is found
  • Max 3 iterations to prevent infinite loops
  • Concise answer prioritization
• Streamlit UI: User-friendly interface with chat history
• Error Handling: Robust parsing and API error recovery

Getting Started 🚀

Prerequisites

• Python 3.8+
• Groq API Key
• .env file for API keys (optional)

Installation

git clone https://github.com/yourusername/ai-search-agent.git
cd ai-search-agent
pip install -r requirements.txt

Setup

1. Get Groq API key from Groq Console
2. Create .env file:

GROQ_API_KEY=your_key_here

Run the App

streamlit run app2.py  # Recommended: optimized version
# or
streamlit run app.py

Usage 💡

1. Enter Groq API key in sidebar
2. Ask questions in natural language:
   • "Explain quantum computing basics"
   • "Latest research on LLM optimization"
   • "Compare CNN and RNN architectures"
3. Watch the agent intelligently combine search sources!

Code Versions 🔄

• app.py: Base implementation with custom DuckDuckGo search
• app2.py (Recommended): Enhanced version with:
  • Official DuckDuckGoSearchRun tool
  • System instruction prompts
  • Limited iterations (3 max)
  • Early stopping mechanism
  • More robust error handling

Deployment ☁️

Project is Deployed at Streamlit Community Cloud:

1. Go to Streamlit Console
2. Enter your Groq API Key
3. Search your query with Intelligent AI Search-Engine

Contributing 🤝

PRs welcome! Please follow:

1. Fork the repository
2. Create feature branch
3. Submit PR with detailed description

License 📄

MIT License - See LICENSE

Acknowledgments 🙏

• Groq for LLM infrastructure
• LangChain team for agent framework
• Streamlit for UI components