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1. Introduction

Deep Research Web UI is an AI-powered research assistant that combines search engines, web scraping, and large language models to enable AI to independently search for information on a given question, dig deeper, and finally generate a research report.

Features of this project:

  • 💰 Low Cost: Achieve “in-depth research” effects similar to ChatGPT, Perplexity, and Metaphor at a very low cost.
  • 🚀 Privacy and Security: All configurations and API requests are completed on the browser side, and self-deployment is supported.
  • 🕙 Real-Time Feedback: Stream AI responses and display them in real time on the interface.
  • 🌳 Search Visualization: Display the research process using a tree structure, supporting English search terms.
  • 📄 Export to PDF: Export the final research report in Markdown and PDF formats.
  • 🤖 Multi-Model Support: Uses pure prompt engineering instead of structured outputs, compatible with more large model providers.

Project open-source repository: GitHub

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2. How to Use

Open the Deep Research Web UI homepage and click the “⚙️” button in the top right corner to open the settings panel.

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2.1 Configure AI Large Model Service

  1. Register or log in to an account on SiliconCloud.
  2. Generate a new API key in API Keys and copy it.
  3. Return to the Deep Research webpage, and in the AI Service section of the settings, select “SiliconFlow.” Paste the API key you just generated into the “API Key” field.
  4. In the “Model Name” field, click the dropdown button on the right (or type the model name in the input box to filter) and select the model you want to use.
  5. (Optional) Configure context length: If you plan to conduct large-scale research, it is recommended to configure the “Context Length” option. Ensure it does not exceed the maximum context length of the selected model to avoid request failures.

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2.2 Configure Networked Search Model

Currently, Tavily and Firecrawl are supported, with more search services to be added in the future. Here, we choose Tavily as it provides 1,000 free searches per month, sufficient for most scenarios.

  1. Register an account on the Tavily homepage. Then create a new API key in the console and copy it.

    • Key Name can be set to Deep Research.
    • Key Type depends on your usage. For light usage, select “Development”; for heavy usage, select “Production,” which supports higher request frequencies.
    • Keep the API key secure and do not disclose it.

  2. Return to the Deep Research webpage, and in the “Networked Search Service” section of the settings, select “Tavily.” Enter the API key you just generated into the “API Key” field.

  3. (Optional) Set the language used for searches. By default, the AI model will use the current language of your webpage for searches and responses. However, if you want to use English search terms to find higher-quality information, you can set the “Language” option to English.

With these configurations complete, you can start using the platform!