Search Engine With Langchain

🔍 A powerful search engine application built using Streamlit and Langchain, integrating various tools like Wikipedia, Arxiv, and DuckDuckGo for comprehensive search capabilities.

Features

• Wikipedia Search: Retrieve concise information from Wikipedia.
• Arxiv Search: Access academic papers and research articles.
• DuckDuckGo Search: Perform web searches using DuckDuckGo.
• Interactive Chat Interface: Engage with the search engine through a chat interface.

Prerequisites

• Python 3.7 or higher
• Streamlit
• Langchain
• Groq API Key

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/your-repo-name.git
   cd your-repo-name

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Set up environment variables:

   Create a .env file in the root directory and add your Groq API key:

   GROQ_API_KEY=your_groq_api_key_here
   

Usage

1. Run the application:

   streamlit run Tools_agents/app.py

2. Access the application:

   Open your web browser and go to http://localhost:8501.

3. Interact with the search engine:

   • Enter your Groq API key in the sidebar.
   • Use the chat interface to ask questions and receive responses from the integrated tools.

Troubleshooting

• Ensure all dependencies are installed correctly.
• Verify that your Groq API key is valid and correctly set in the .env file.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

• Langchain for providing the tools and utilities.
• Streamlit for the interactive web application framework.