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# 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 protected]](mailto:[email protected]).
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