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A web-based AI deep research tool that supports multiple AI models and search engines, offering visual research workflows, real-time feedback, and PDF export functionality. It supports both client-side and server-side deployment modes.
Section 01
A web-based AI deep research tool that supports multiple AI models and search engines, offering visual research workflows, real-time feedback, and PDF export functionality. It supports both client-side and server-side deployment modes.
Section 02
In the era of information explosion, conducting in-depth research on any topic requires significant time for data collection, organization, and analysis. Deep Research Web UI is an open-source web-based project that combines large AI language models with search engines and web scraping technology to help users automate the deep research process. This project is improved from dzhng/deep-research, adding several practical features and optimizations.
Section 03
The project provides a client-side mode where all configurations and API requests are processed locally in the user's browser, eliminating concerns about data leakage. For team collaboration scenarios, it also supports server-side deployment, with API keys managed centrally via environment variables.
Section 04
The system supports streaming transmission of AI responses, allowing users to see the AI's thinking process and search results in real time during research. This instant feedback mechanism greatly enhances the user experience and makes the research process more transparent and controllable.
Section 05
The project uses a tree structure to visualize the entire research process, enabling users to clearly see the hierarchical structure of searches and information connections. It supports multilingual search to meet the needs of users from different language backgrounds.
Section 06
After completing research, users can export the final report in Markdown or PDF format for easy subsequent editing and sharing. PDF export uses the browser's native printing capability, avoiding font and layout issues.
Section 07
The project uses regular prompts instead of newer OpenAI features like structured output, ensuring compatibility with more AI providers. Currently, it supports multiple AI providers including OpenAI-compatible interfaces, SiliconFlow, InfiniAI, DeepSeek, OpenRouter, Ollama, as well as search engines like Tavily, Firecrawl, and Google PSE.
Section 08
Suitable for static deployment scenarios such as EdgeOne Pages. Users need to configure API keys themselves in the browser.
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