https://github.com/rahulsamant37/agentic-ai-project
Agentic-AI Simple Chatbot using Langgraph with Tavily as a Tools and deploy in HuggingFace Spaces
https://github.com/rahulsamant37/agentic-ai-project
agentic-ai git-actions groq-api huggingface langchain-python langgraph-python streamlit
Last synced: 27 days ago
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Agentic-AI Simple Chatbot using Langgraph with Tavily as a Tools and deploy in HuggingFace Spaces
- Host: GitHub
- URL: https://github.com/rahulsamant37/agentic-ai-project
- Owner: rahulsamant37
- License: gpl-3.0
- Created: 2025-03-15T12:43:43.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-16T03:35:44.000Z (about 1 year ago)
- Last Synced: 2025-07-22T19:46:19.626Z (11 months ago)
- Topics: agentic-ai, git-actions, groq-api, huggingface, langchain-python, langgraph-python, streamlit
- Language: Python
- Homepage: https://huggingface.co/spaces/rahulsamant37/Agentic-AI-Project
- Size: 36.1 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
---
title: LanggraphAgenticAI
emoji: 🐨
colorFrom: blue
colorTo: red
sdk: streamlit
sdk_version: 1.42.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Refined langgraphAgenticAI
---
# Agentic-AI Project
A stateful agentic AI application built with LangGraph and LangChain that demonstrates the implementation of conversational AI agents with tool integration capabilities.
## 🌟 Features
- **Multiple LLM Support**: Currently integrated with Groq LLM models
- **Multiple Use Cases**:
- Basic Chatbot: Simple conversational AI
- Chatbot with Tool Integration: Enhanced chatbot with Tavily search capabilities
- **Modular Architecture**:
- Graph-based workflow management
- State management
- Tool integration framework
- **User-friendly Interface**: Built with Streamlit for easy interaction
## 🛠️ Prerequisites
- Python 3.8+
- Groq API Key (Get it from [Groq Console](https://console.groq.com/keys))
- Tavily API Key (Required for tool-enabled chatbot - Get it from [Tavily](https://app.tavily.com/home))
## 📦 Installation
1. Clone the repository:
```bash
git clone https://github.com/rahulsamant37/Agentic-AI-Project.git
cd Agentic-AI-Project
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
## 🚀 Running the Application
1. Start the Streamlit application:
```bash
streamlit run app.py
```
2. Access the web interface at `http://localhost:8501`
## 💻 Usage
1. In the sidebar:
- Select your preferred LLM (currently Groq)
- Choose a model from available options
- Enter your API key(s)
- Select a use case (Basic Chatbot or Chatbot with Tool)
2. Enter your message in the chat input
3. Interact with the chatbot and view responses
## 🏗️ Project Structure
```
Agentic-AI-Project/
├── src/
│ ├── LLMS/ # LLM configurations
│ ├── graph/ # LangGraph implementation
│ ├── nodes/ # Graph nodes implementation
│ ├── state/ # State management
│ ├── tools/ # Tool integrations
│ ├── UI/ # User interface components
│ └── main.py # Application entry point
├── app.py # Streamlit app launcher
└── requirements.txt # Project dependencies
```
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 📄 License
This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.
## ⚠️ Important Notes
- Ensure your API keys are kept secure and never committed to version control
- The application requires active internet connection for LLM and tool interactions