--- license: mit title: Open DeepResearch sdk: streamlit emoji: 🌍 colorFrom: blue colorTo: indigo pinned: true thumbnail: >- https://cdn-uploads.huggingface.co/production/uploads/653425f4ed74ace63395826c/R01AZ1UR8_vatKCrcBZq_.png short_description: Making Deep Research Simple --- # 🔍 Open DeepResearch
## Overview Open DeepResearch is an application for assisting in research by conducting comprehensive research on any topic. It automates the process of gathering, analyzing, and synthesizing information from multiple sources to generate detailed reports with proper citations. ## Features - 🤖 AI-powered search query generation - 🌐 Automated web searching and content extraction - 📊 Smart relevance filtering - 📝 Comprehensive report generation with citations - 🔄 Iterative research refinement - 📱 User-friendly Streamlit interface ## Requirements You'll need API keys from: - [OpenRouter](https://openrouter.ai/keys) - [SerpAPI](https://serpapi.com/manage-api-key) - [Jina](https://jina.ai/api-key) ## Installation ```bash git clone https://github.com/yourusername/DeepResearch_App.git cd DeepResearch_App pip install -r requirements.txt ``` ## Usage 1. Launch the app: ```bash streamlit run app.py ``` 2. Configure your API keys in the sidebar 3. Enter your research query 4. Set the number of research iterations 5. Click "Start Research" and wait for your detailed report ## How It Works 1. **Query Generation**: AI creates targeted search queries based on your topic 2. **Web Search**: Automated search across multiple sources 3. **Content Analysis**: Relevant information extraction and filtering 4. **Report Generation**: Synthesized findings with proper citations 5. **Iterative Refinement**: Additional searches based on gaps in information ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.