### Install uv for Faster Package Installation

Source: https://github.com/terry-xu-666/noderag/blob/main/README.md

Installs the 'uv' package manager, a fast Python package installer. It is optional but recommended for speeding up package installations.

```bash
pip install uv
```

--------------------------------

### Install NodeRAG using uv

Source: https://github.com/terry-xu-666/noderag/blob/main/README.md

Installs the NodeRAG package using the 'uv' package manager. This method is recommended for optimized performance and faster installation.

```bash
uv pip install NodeRAG
```

--------------------------------

### Conda Environment Setup

Source: https://github.com/terry-xu-666/noderag/blob/main/README.md

Sets up a Conda virtual environment named 'NodeRAG' with Python version 3.10. This isolates project dependencies for NodeRAG.

```bash
conda create -n NodeRAG python=3.10
conda activate NodeRAG
```

--------------------------------

### Python Package Dependencies (requirements.txt)

Source: https://github.com/terry-xu-666/noderag/blob/main/requirements.txt

This snippet provides a complete list of Python packages and their exact versions that are necessary for the project to run. It includes comments indicating the source or reason for each dependency, often used with `pip install -r` to set up the development environment.

```Python
# via
# -r requirements.in
# pyvis
# torch
numpy==1.26.4
# via
# -r requirements.in
# faiss-cpu
# hnswlib-noderag
# pandas
# pydeck
# scipy
# streamlit
openai==1.66.3
# via -r requirements.in
packaging==24.2
# via
# altair
# faiss-cpu
# streamlit
pandas==2.2.3
# via
# -r requirements.in
# streamlit
parso==0.8.4
# via jedi
pillow==11.1.0
# via streamlit
prompt-toolkit==3.0.50
# via ipython
propcache==0.3.0
# via
# aiohttp
# yarl
protobuf==5.29.3
# via streamlit
pure-eval==0.2.3
# via stack-data
pyarrow==19.0.1
# via streamlit
pydantic==2.10.6
# via
# -r requirements.in
# openai
pydantic-core==2.27.2
# via pydantic
pydeck==0.9.1
# via streamlit
pygments==2.19.1
# via
# ipython
# rich
python-dateutil==2.9.0.post0
# via pandas
pytz==2025.1
# via pandas
pyvis==0.3.2
# via -r requirements.in
pyyaml==6.0.2
# via -r requirements.in
referencing==0.36.2
# via
# jsonschema
# jsonschema-specifications
regex==2024.11.6
# via tiktoken
requests==2.32.3
# via
# -r requirements.in
# streamlit
# tiktoken
rich==13.9.4
# via -r requirements.in
rpds-py==0.23.1
# via
# jsonschema
# referencing
scipy==1.12.0
# via -r requirements.in
six==1.17.0
# via python-dateutil
smmap==5.0.2
# via gitdb
sniffio==1.3.1
# via
# anyio
# openai
sortedcontainers==2.4.0
# via -r requirements.in
stack-data==0.6.3
# via ipython
streamlit==1.43.2
# via -r requirements.in
sympy==1.13.1
# via torch
tenacity==9.0.0
# via streamlit
texttable==1.7.0
# via igraph
tiktoken==0.9.0
# via -r requirements.in
toml==0.10.2
# via streamlit
torch==2.6.0
# via -r requirements.in
tornado==6.4.2
# via streamlit
tqdm==4.67.1
# via
# -r requirements.in
# openai
traitlets==5.14.3
# via
# ipython
# matplotlib-inline
typing-extensions==4.12.2
# via
# altair
# anyio
# ipython
# multidict
# openai
# pydantic
# pydantic-core
# referencing
# rich
# streamlit
# torch
tzdata==2025.1
# via pandas
urllib3==2.3.0
# via requests
watchdog==6.0.0
```

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