🧠 Multi-Agent Research Assistant

🚀 Production-ready multi-agent AI system that decomposes complex queries into structured workflows using LangGraph, Groq LPU, and Tavily Search API

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🌟 Key Highlights

• 🤖 Autonomous Multi-Agent System with task decomposition
• ⚡ 500+ tokens/sec inference using Groq LPU
• 🔍 Real-time web search via Tavily API
• 🎯 Reduced hallucinations with live retrieval
• 💻 Streamlit UI with real-time execution tracking
• 🆓 Optimized for free-tier usage (12K TPM)

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🧠 System Design

Agents:

• Research Agent 🔍 → Retrieves data via Tavily
• Critique Agent 🔎 → Validates and improves results
• Summarizer Agent 📝 → Generates final structured output

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🏗️ Architecture

User Query
    ↓
Research Agent (Search + LLM)
    ↓
Critique Agent (Validation Loop)
    ↓
Decision Layer
    ├── More Research → Loop Back
    └── Finalize → Summarizer
            ↓
        Final Response

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🛠️ Tech Stack

Layer	Technology
Orchestration	LangGraph
LLM Inference	Groq (Llama-3.3-70B)
Retrieval	Tavily Search API
Backend	Python
UI	Streamlit

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⚙️ Installation

git clone https://github.com/rjkalash/multi-agent-research-assistant.git
cd multi-agent-research-assistant

python -m venv venv

# Windows
venv\Scripts\activate

# macOS/Linux
source venv/bin/activate

pip install -r requirements.txt

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🔑 Environment Setup

Create .env file:

GROQ_API_KEY=your_key_here
TAVILY_API_KEY=your_key_here

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🚀 Usage

CLI

python main.py "Latest AI breakthroughs in 2026"

Streamlit UI

streamlit run app.py

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📊 Performance

Metric	Value
Speed	500+ tokens/sec
Latency	10–30 sec
Token Usage	~7K/query
Reliability	High
Hallucination	Reduced (via retrieval)

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🧪 Example Queries

• Latest AI breakthroughs in 2026
• Quantum computing advancements
• Climate change impact on agriculture
• Cybersecurity trends

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📂 Project Structure

multi-agent-research-assistant/
├── agents.py
├── app.py
├── main.py
├── utils.py
├── demo.py
├── requirements.txt
├── .env.example
└── docs/

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🤝 Contributing

PRs are welcome!

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👤 Author

Raj Kalash Tiwari

• GitHub: https://github.com/rjkalash

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📈 Status

✅ Production-ready system for real-world AI workflows

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