⚡ GroqFlow - AI Agent Chatbot

GroqFlow is an AI-powered agent chatbot built with a modern full-stack architecture.
It combines the power of Groq Cloud LLMs, LangGraph agent workflows, and Tavily web search to provide intelligent, context-aware responses.

The project includes a FastAPI backend for AI processing and a Streamlit frontend for an interactive chat experience.

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🚀 Features

• 🤖 AI Agent powered chatbot
• ⚡ Fast inference using Groq Cloud
• 🧠 LangGraph-based agent workflow
• 🔥 Llama model integration
• 🌐 Real-time web search capability with Tavily
• 🏗️ Full-stack architecture (Frontend + Backend)
• 💬 Interactive chat interface
• 🔌 REST API communication using FastAPI

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🛠️ Tech Stack

Frontend

• Streamlit
• Python

Backend

• FastAPI
• Python
• LangGraph
• LangChain

AI / LLM

• Groq Cloud
• Llama Models

External Tools

• Tavily Search API

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🏗️ System Architecture

                 User
                   |
                   v
          Streamlit Frontend
                   |
                   v
            FastAPI Backend
                   |
                   v
            LangGraph Agent
              /          \
             /            \
            v              v
   Groq Cloud LLM     Tavily Search
     (Llama Model)        API
             \            /
              \          /
                   v
              AI Response

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🎯 Use Cases

• AI personal assistant
• Research assistant
• Web-enabled chatbot
• Intelligent question answering system
• AI workflow automation
• Real-time information retrieval

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🔮 Future Improvements

• Conversation memory
• User authentication
• Multi-agent architecture
• RAG-based document assistant
• Docker deployment
• Cloud deployment

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👨‍💻 Author

Rahman Saif

AI / Machine Learning Enthusiast