Step1: Dependencies Installation

git clone https://github.com/InternLM/MindSearch
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.

Step4: Setup MindSearch Frontend

Providing following frontend interfaces,

• React

First configurate the backend URL for Vite proxy.

HOST="127.0.0.1"  # modify as you need
PORT=8002
sed -i -r "s/target:\s*\"\"/target: \"${HOST}:${PORT}\"/" frontend/React/vite.config.ts

# Install Node.js and npm
# for Ubuntu
sudo apt install nodejs npm

# for windows
# download from https://nodejs.org/zh-cn/download/prebuilt-installer

# Install dependencies

cd frontend/React
npm install
npm start

Details can be found in React

• Gradio

python frontend/mindsearch_gradio.py

• Streamlit

streamlit run frontend/mindsearch_streamlit.py