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-[🌐 Project Page](https://mindsearch.netlify.app/) | [📃 Paper](https://arxiv.org/abs/2407.20183) | [💻 Playground](https://mindsearch.openxlab.org.cn/)
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-English | [简体中文](README_zh-CN.md)
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-## ✨ 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 (InternLM2.5-7b-chat). It owns following features:
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-- 🤔 **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.
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-<img src="assets/teaser.gif">
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-## ⚡️ MindSearch vs other AI Search Engines
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-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\*.
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-* All experiments are done before July.7 2024.
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-## ⚽️ Build Your Own MindSearch
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-### Step1: Dependencies Installation
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-```bash
-pip install -r requirements.txt
-```
-
-### Step2: Setup MindSearch API
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-Setup FastAPI Server.
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-```bash
-python -m mindsearch.app --lang en --model_format internlm_server
-```
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-- `--lang`: language of the model, `en` for English and `zh` 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](./mindsearch/agent/models.py)
-
-### Step3: Setup MindSearch Frontend
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-Providing following frontend interfaces,
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-- React
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-```bash
-# Install Node.js and npm
-# for Ubuntu
-sudo apt install nodejs npm
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-# for windows
-# download from https://nodejs.org/zh-cn/download/prebuilt-installer
-
-# Install dependencies
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-cd frontend/React
-npm install
-npm start
-```
-
-Details can be found in [React](./frontend/React/README.md)
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-- Gradio
-
-```bash
-python frontend/mindsearch_gradio.py
-```
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-- Streamlit
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-```bash
-streamlit run frontend/mindsearch_streamlit.py
-```
-
-## 🐞 Debug Locally
-
-```bash
-python -m mindsearch.terminal
-```
-
-## 📝 License
-
-This project is released under the [Apache 2.0 license](LICENSE).
-
-## Citation
-
-If you find this project useful in your research, please consider cite:
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-```
-@misc{chen2024mindsearchmimickinghumanminds,
-      title={MindSearch: Mimicking Human Minds Elicits Deep AI Searcher},
-      author={Zehui Chen and Kuikun Liu and Qiuchen Wang and Jiangning Liu and Wenwei Zhang and Kai Chen and Feng Zhao},
-      year={2024},
-      eprint={2407.20183},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2407.20183},
-}
-```
+title: mindsearch
+emoji: 😊
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+sdk: streamlit
+sdk_version: "1.34.0"
+app_file: frontend/mindsearch_streamlit.py
+pinned: false