metadata

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

Try the app on Hugging Face Spaces

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:

Installation

git clone https://github.com/yourusername/DeepResearch_App.git
cd DeepResearch_App
pip install -r requirements.txt

Usage

Launch the app:

streamlit run app.py

Configure your API keys in the sidebar
Enter your research query
Set the number of research iterations
Click "Start Research" and wait for your detailed report

How It Works

Query Generation: AI creates targeted search queries based on your topic
Web Search: Automated search across multiple sources
Content Analysis: Relevant information extraction and filtering
Report Generation: Synthesized findings with proper citations
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 file for details.