# Search Arena

**Search Arena** is a comprehensive platform designed to rigorously evaluate and compare search-based web agents. Leveraging a variety of metrics, Search Arena ensures that users can identify the most effective solutions for their needs.

## Key Features

- **Output Evaluations:** Analyze the quality and relevance of search results.
- **Perplexity:** Measure the predictive uncertainty of language models used by the agents.
- **Exa (Exhaustiveness Analysis):** Assess the breadth and depth of search coverage.
- **Multi-Agent Comparison:** Compare multiple agents side-by-side.
- **Customizable Benchmarks:** Define specific benchmarks and criteria for evaluation.
- **User Feedback Integration:** Incorporate user feedback to improve agent performance.
- **Performance Metrics:** Detailed reports on response time, precision, recall, and F1 score.

## Benefits

- **Enhanced Decision-Making:** Make informed decisions with clear, data-driven evaluations.
- **Optimization:** Help developers optimize their search agents.
- **Innovation:** Foster innovation by promoting the best-performing search technologies.

## Getting Started

Follow these steps to set up the project on your local machine.

### Prerequisites

- Git
- Python 3.x
- Virtualenv (optional but recommended)

### Installation

1. **Clone the Repository:**

   ```bash
   git clone https://github.com/leowalker89/SearchArena
   ```

2. **Navigate to the Project Directory:**

   ```bash
   cd search-arena
   ```

3. **Create a Virtual Environment:**

   ```bash
   python -m venv env
   ```

4. **Activate the Virtual Environment:**

   - On Windows:

     ```bash
     .\env\Scripts\activate
     ```

   - On macOS and Linux:

     ```bash
     source env/bin/activate
     ```

5. **Install the Required Dependencies:**

   ```bash
   pip install -r requirements.txt
   ```

### Running the Project

1. **Start the Development Server:**

   ```bash
   streamlit run app.py
   ```

2. **Open your Browser:**

   Navigate to `http://localhost:5000` to view the platform.

### Usage

- Follow the on-screen instructions to evaluate and compare search-based web agents.
- Customize benchmarks and criteria as needed.
- Analyze detailed reports and visualizations to make informed decisions.

### Contributing

We welcome contributions! Please read our [Contributing Guide](CONTRIBUTING.md) to get started.

### License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.

### Contact

If you have any questions, feel free to open an issue or contact us at [email@example.com](mailto:kye@swarms.world).