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https://github.com/zjunlp/OmniThink

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
https://github.com/zjunlp/OmniThink

artificial-intelligence generation gpt information-seeking knowledge-augmented-generation large-language-models machine-writing natural-language-processing ominithink qwen retrieval-augmented-generation slow-thinking

Last synced: 11 days ago
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OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Host: GitHub
URL: https://github.com/zjunlp/OmniThink
Owner: zjunlp
License: mit
Created: 2024-12-10T06:42:25.000Z (about 2 months ago)
Default Branch: main
Last Pushed: 2025-01-17T07:02:04.000Z (18 days ago)
Last Synced: 2025-01-17T08:18:06.489Z (18 days ago)
Topics: artificial-intelligence, generation, gpt, information-seeking, knowledge-augmented-generation, large-language-models, machine-writing, natural-language-processing, ominithink, qwen, retrieval-augmented-generation, slow-thinking
Language: Python
Homepage:
Size: 12.7 MB
Stars: 11
Watchers: 4
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome-llm-agent - OmniThink

README

        





  







OmniThink





Expanding Knowledge Boundaries in Machine Writing

through Thinking





👏 Welcome to try OmniThink in our **[ Modelscope online demo](https://www.modelscope.cn/studios/iic/OmniThink)**!



[🤖Project]

[📄Paper]









  





## Table of Contents

- 🌻[Quick Start](#quick-start)

- 🌟[Introduction](#Introduction)

- 🔧[Dependencies](#Dependencies)

- 📉[Results](#Results)

- 🧐[Evaluation](#evaluation)

- 🚩[Acknowledgement](#Acknowledgement)

---

Due to the recent high volume of visitors, search API quota limitations, you may encounter an error:```'ValueError: Expected 2D array, got 1D array instead: array=[]. Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.'```If this error occurs, please try again in a few hours.

## 📖 Quick Start

- 🌏 The **Online Demo** is avaiable at [ModelScope](https://www.modelscope.cn/studios/iic/OmniThink) now！



# 📌 Introduction

Welcome to **OmniThink**, an innovative machine writing framework designed to replicate the human cognitive process of iterative expansion and reflection in generating insightful long-form articles. 

- **Iterative Expansion and Reflection**: OmniThink uses a unique mechanism that simulates human cognitive behaviors to deepen the understanding of complex topics.

- **Enhanced Knowledge Density**: OmniThink focuses on expanding knowledge boundaries, resulting in articles that are rich in information and insights.

- **Comprehensive Article Generation**: OmniThink constructs outlines and generates articles, delivering high-quality content that is both coherent and contextually robust.



    



# 🛠 Dependencies

```bash

conda create -n OmniThink python=3.11

git clone https://github.com/zjunlp/OmniThink.git

cd OmniThink

# Install requirements

pip install -r requirement.txt

```

🔑 Before running, please export the OPENAI API key or Dashscope API key and SEARCH key as an environment variable:

```bash

export OPENAI_API_KEY=YOUR_API_KEY

export SEARCHKEY=YOUR_SEARCHKEY

```

or

```bash

export DASHSCOPE_KEY=YOUR_API_KEY

export SEARCHKEY=YOUR_SEARCHKEY

```

> You can define your own [LLM API](https://github.com/zjunlp/OmniThink/blob/main/src/tools/lm.py) and [SEARCH API](https://github.com/zjunlp/OmniThink/blob/main/src/tools/rm.py)

> Note that the output of the LLM should be a LIST.

# Results in OmniThink

The preformance of OmniThink is shown below:



    



# Generate Article in OmniThink

Just one command required

```bash

sh run.sh

```

You can find your Article, Outline and mindmap in ./results/

# 🔍 Evaluation

We are organizing the evaluation code and will open source it soon.

# 🌻Acknowledgement

- This work is implemented by [DsPY](https://github.com/stanfordnlp/dspy), [STORM](https://github.com/stanford-oval/storm) Sincere thanks for their efforts.

- if you have any questions, please feel free to contact via [email protected], [email protected] or [email protected] or create an issue.

## Citation

If you find our repo useful in your research, please kindly consider cite:

```angular2

@misc{xi2025omnithinkexpandingknowledgeboundaries,

      title={OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking}, 

      author={Zekun Xi and Wenbiao Yin and Jizhan Fang and Jialong Wu and Runnan Fang and Ningyu Zhang and Jiang Yong and Pengjun Xie and Fei Huang and Huajun Chen},

      year={2025},

      eprint={2501.09751},

      archivePrefix={arXiv},

      primaryClass={cs.CL},

      url={https://arxiv.org/abs/2501.09751}, 

}

```