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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 (InternLM2.5-7b-chat). It owns following features:

• 🤔 Ask everything you want to know: MindSearch is designed to solve any question in your life and use web knowledge.
• 📚 In-depth Knowledge Discovery: MindSearch browses hundreds of web pages to answer your question, providing deeper and wider knowledge base answer.
• 🔍 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.
• 💻 Optimized UI Experimence: Providing all kinds of interfaces for users, including React, Gradio, Streamlit and Terminal. Choose any type based on your need.
• 🧠 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.

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*.

git clone https://github.com/InternLM/MindSearch
cd MindSearch
pip install -r requirements.txt

Setup FastAPI Server.

python -m mindsearch.app --lang en --model_format internlm_server

• --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

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

python -m mindsearch.terminal

This project is released under the Apache 2.0 license.

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}
}

Explore our additional research on large language models, focusing on LLM agents.

• Lagent: A lightweight framework for building LLM-based agents
• AgentFLAN: An innovative approach for constructing and training with high-quality agent datasets (ACL 2024 Findings)
• T-Eval: A Fine-grained tool utilization evaluation benchmark (ACL 2024)