✨ MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

⚽️ Build Your Own MindSearch

Step1: Dependencies Installation

cd MindSearch
pip install -r requirements.txt

Step2: Setup Environment Variables

Before setting up the API, you need to configure environment variables. Rename the .env.example file to .env and fill in the required values.

mv .env.example .env
# Open .env and add your keys and model configurations

Step3: Setup MindSearch API

Setup FastAPI Server.

python -m mindsearch.app --lang en --model_format internlm_server --search_engine DuckDuckGoSearch --asy 

• --lang: language of the model, en for English and cn for Chinese.

• --model_format: format of the model.

  • internlm_server for InternLM2.5-7b-chat with local server. (InternLM2.5-7b-chat has been better optimized for Chinese.)
  • gpt4 for GPT4. if you want to use other models, please modify models

• --search_engine: Search engine.

  • DuckDuckGoSearch for search engine for DuckDuckGo.
  • BingSearch for Bing search engine.
  • BraveSearch for Brave search web api engine.
  • GoogleSearch for Google Serper web search api engine.
  • TencentSearch for Tencent search api engine.

  Please set your Web Search engine API key as the WEB_SEARCH_API_KEY environment variable unless you are using DuckDuckGo, or TencentSearch that requires secret id as TENCENT_SEARCH_SECRET_ID and secret key as TENCENT_SEARCH_SECRET_KEY.

• --asy: deploy asynchronous agents.

🌐 Change Web Search API

To use a different type of web search API, modify the searcher_type attribute in the searcher_cfg located in mindsearch/agent/__init__.py. Currently supported web search APIs include:

• GoogleSearch
• DuckDuckGoSearch
• BraveSearch
• BingSearch
• TencentSearch

For example, to change to the Brave Search API, you would configure it as follows:

BingBrowser(
    searcher_type='BraveSearch',
    topk=2,
    api_key=os.environ.get('BRAVE_API_KEY', 'YOUR BRAVE API')
)

🐞 Using the Backend

For users who prefer to interact with the backend directly, use the backend_example.py script. This script demonstrates how to send a query to the backend and process the response.

python backend_example.py

Make sure you have set up the environment variables and the backend is running before executing the script.

🐞 Debug Locally

python -m mindsearch.terminal