# Deep Research Web UI This is a web UI for https://github.com/dzhng/deep-research. Features: - **Realtime feedback**: Stream AI responses and reflect on the UI in real-time - **Search visualization**: Shows the research process using a tree structure - **Export as PDF**: Export the final research report as a PDF - **Bring Your Own API Key**: Everything (config, API requests, ...) happens in your browser - **Supports more models**: Uses plain prompts instead of newer, less widely supported features like Structured Outputs. This ensures to work with more providers that haven't caught up with the latest OpenAI capabilities. Currently available providers: - AI: OpenAI compatible - Web Search: Tavily (similar to Firecrawl, but with more free quota (1000 credits / month)) Please give a 🌟 Star if you like this project! ## How to use Live demo: https://deep-research.ataw.top ### Self hosted Use pre-built Docker image: ```bash docker run -p 3000:3000 --name deep-research-web -d anotia/deep-research-web:latest ``` Use self-built Docker image: ``` git clone https://github.com/AnotiaWang/deep-research-web-ui cd deep-research-web-ui docker build -t deep-research-web . docker run -p 3000:3000 --name deep-research-web -d deep-research-web ``` --- ## Developing ### Setup Make sure to install dependencies: ```bash # pnpm pnpm install ``` ## Development Server Start the development server on `http://localhost:3000`: ```bash pnpm dev ``` ## Production Build the application for production: If you want to deploy a SSR application: ```bash pnpm build ``` If you want to deploy a static, SSG application: ```bash pnpm generate ``` Locally preview production build: ```bash pnpm preview ``` Check out the [deployment documentation](https://nuxt.com/docs/getting-started/deployment) for more information. ## License MIT