A Python package for extracting structured metadata information from arXiv papers.
Project description
NERxiv
Named Entity Recognition for arxiv papers (NERxiv) is a Python wrapper tool for extracting structured metadata from scientific papers on arXiv using LLMs and modern retrieval-augmented generation (RAG) techniques.
Visit the documentation page to learn how to use this tool.
What It Does
- Uses
pyrxivto fetch, download, and extract text from arXiv papers - Chunks and embeds text with SentenceTransformers or LangChain to categorize papers content using local LLMs (via Ollama)
- Includes CLI tools and notebook tutorials for reproducible workflows
Installation
Install the core package:
pip install nerxiv
Running LLMs Locally
We recommend running your own models locally using Ollama:
# Install Ollama (follow instructions on their website)
ollama pull <model-name> # e.g., llama3, deepseek-r1, qwen3:30b
# Start the local server
ollama serve
Development
To contribute to NERxiv or run it locally, follow these steps:
Clone the Repository
git clone https://github.com/JosePizarro3/NERxiv.git
cd NERxiv
Set Up a Virtual Environment
We recommend Python ≥ 3.10:
python3 -m venv .venv
source .venv/bin/activate
Install Dependencies
Use uv (faster than pip) to install the package in editable mode with dev and docu extras:
pip install --upgrade pip
pip install uv
uv pip install -e .[dev,docu]
Run tests
Use pytest with verbosity to run all tests:
python -m pytest -sv tests
To check code coverage:
python -m pytest --cov=nerxiv tests
Code formatting and linting
We use Ruff for formatting and linting (configured via pyproject.toml).
Check linting issues:
ruff check .
Auto-format code:
ruff format . --check
Manually fix anything Ruff cannot handle automatically.
Documentation writing
To view the documentation locally, make sure to have installed the extra [docu] packages:
uv pip install -e '[docu]'
Note: This command installs mkdocs, mkdocs-material, and other documentation-related dependencies.
The first time, build the server:
mkdocs build
Run the documentation server:
mkdocs serve
The output looks like:
INFO - Building documentation...
INFO - Cleaning site directory
INFO - [14:07:47] Watching paths for changes: 'docs', 'mkdocs.yml'
INFO - [14:07:47] Serving on http://127.0.0.1:8000/
Simply click on http://127.0.0.1:8000/. The changes in the md files of the documentation are immediately reflected when the files are saved (the local web will automatically refresh).
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nerxiv-0.1.0.tar.gz.
File metadata
- Download URL: nerxiv-0.1.0.tar.gz
- Upload date:
- Size: 13.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
019ad6f6d89a8d5acfd3f811167d58be7471dd174e05ef2eaca02510962c1f48
|
|
| MD5 |
0725479b6a5d8cadf7049cd6c32104c0
|
|
| BLAKE2b-256 |
9680c790e939a7b6a7a1c07d1646cee18a9a008af312d2c25847e6f9b0c0a726
|
File details
Details for the file nerxiv-0.1.0-py3-none-any.whl.
File metadata
- Download URL: nerxiv-0.1.0-py3-none-any.whl
- Upload date:
- Size: 13.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2150215b3e8caa593662c7bd7194e5192fdab05438800184a794bbba6381c978
|
|
| MD5 |
25d52e74f663b2397323936f8eaa0e60
|
|
| BLAKE2b-256 |
963017bc8f7c56dba25aaa59aded53bb482447467645d2aa33dd5d688cab78b0
|