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https://github.com/user-attachments/assets/44ffe4b9-be26-4b93-a77b-02fed16e33fe
โจ MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
MindSearch is an open-source AI Search Engine Framework with Perplexity.ai Pro performance. You can simply deploy it with your own perplexity.ai style search engine with either close-source LLMs (GPT, Claude) or open-source LLMs (InternLM2.5 series are specifically optimized to provide superior performance within the MindSearch framework; other open-source models have not been specifically tested). It owns following features:
- ๐ค Ask everything you want to know: MindSearch is designed to solve any question in your life and use web knowledge.
- ๐ In-depth Knowledge Discovery: MindSearch browses hundreds of web pages to answer your question, providing deeper and wider knowledge base answer.
- ๐ Detailed Solution Path: MindSearch exposes all details, allowing users to check everything they want. This greatly improves the credibility of its final response as well as usability.
- ๐ป Optimized UI Experience: Providing all kinds of interfaces for users, including React, Gradio, Streamlit and Terminal. Choose any type based on your need.
- ๐ง Dynamic Graph Construction Process: MindSearch decomposes the user query into atomic sub-questions as nodes in the graph and progressively extends the graph based on the search result from WebSearcher.
โก๏ธ MindSearch vs other AI Search Engines
Comparison on human preference based on depth, breadth, factuality of the response generated by ChatGPT-Web, Perplexity.ai (Pro), and MindSearch. Results are obtained on 100 human-crafted real-world questions and evaluated by 5 human experts*.
โฝ๏ธ Build Your Own MindSearch
Step1: Dependencies Installation
git clone https://github.com/InternLM/MindSearch
cd MindSearch
pip install -r requirements.txt
Step2: Setup MindSearch API
Setup FastAPI Server.
python -m mindsearch.app --lang en --model_format internlm_server --search_engine DuckDuckGoSearch
--lang: language of the model,enfor English andcnfor Chinese.--model_format: format of the model.internlm_serverfor InternLM2.5-7b-chat with local server. (InternLM2.5-7b-chat has been better optimized for Chinese.)gpt4for GPT4. if you want to use other models, please modify models
--search_engine: Search engine.DuckDuckGoSearchfor search engine for DuckDuckGo.BingSearchfor Bing search engine.
Step3: Setup MindSearch Frontend
Providing following frontend interfaces,
- React
# 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
๐ 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:
GoogleSearchDuckDuckGoSearchBraveSearchBingSearch
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')
)
๐ Debug Locally
python -m mindsearch.terminal
๐ License
This project is released under the Apache 2.0 license.
Citation
If you find this project useful in your research, please consider cite:
@article{chen2024mindsearch,
title={MindSearch: Mimicking Human Minds Elicits Deep AI Searcher},
author={Chen, Zehui and Liu, Kuikun and Wang, Qiuchen and Liu, Jiangning and Zhang, Wenwei and Chen, Kai and Zhao, Feng},
journal={arXiv preprint arXiv:2407.20183},
year={2024}
}
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