title: SearchArena emoji: 🐠 colorFrom: red colorTo: gray sdk: streamlit sdk_version: 1.35.0 app_file: app.py pinned: false # 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).