OmniThink
[EMNLP 2025] OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
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Download Latest Version (.zip)- demo.gif
- logo.png
- main.jpg
- overall.jpg
- overview.jpg
- overview2.jpg
- table.jpg
- tongyi.png
- Information_Diversity.py
- Knowledge_Density.py
- readme.md
- Rubric_Grading.py
- trim.py
- deepseekr1.py
- gpt4o.py
- gpt4o_agent.py
- gpt4o_localsearch.py
- __init__.py
- article_generation.py
- article_polish.py
- outline_generation.py
- __init__.py
- Article.py
- interface.py
- __init.py
- lm.py
- mindmap.py
- rm.py
- ArticleTextProcessing.cpython-311.pyc
- ArticleTextProcessing.cpython-312.pyc
- FileIOHelper.cpython-311.pyc
- FileIOHelper.cpython-312.pyc
- WebPageHelper.cpython-311.pyc
- WebPageHelper.cpython-312.pyc
- ArticleTextProcessing.py
- FileIOHelper.py
- post.py
- utils.py
- WebPageHelper.py
- __init__.py
- .gitignore
- app.py
- config.yaml
- Dockerfile
- environment.yml
- LICENSE
- README.md
- requirements.txt
- run.sh
# Installation Guide
1. Get the code
git clone https://github.com/zjunlp/OmniThink
Downloads the entire project code from GitHub to your computer.
cd OmniThink
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install sentence-transformers faiss-cpu numpy
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Docker
EasyPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker pull zjunlp/omnithink:latest
Type this command into your terminal and run it.
docker run -it zjunlp/omnithink:latest
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
Pulled directly from this repo's README.
4. Python
EasyPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
pip install sentence-transformers faiss-cpu numpy
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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