Installation
To install requirements: python -m pip install requirements.txt
To save requirements: python -m pip list --format=freeze --exclude-editable -f https://download.pytorch.org/whl/torch_stable.html > requirements.txt
- Note we use Python 3.9.4 for our experiments
Running the code
For remaining experiments:
Navigate to the corresponding directory, then execute: python run.py -m with the corresponding config.yaml file (which stores experiment configs).
License
Consult License.md
Release files for graphrag-toolkit-byokg-rag 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| graphrag_toolkit_byokg_rag-0.0.1.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| graphrag_toolkit_byokg_rag-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.9 kB
Release files / graphrag_toolkit_byokg_rag-0.0.1.tar.gz
| Download URL | graphrag_toolkit_byokg_rag-0.0.1.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
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Release files / graphrag_toolkit_byokg_rag-0.0.1-py3-none-any.whl
| Download URL | graphrag_toolkit_byokg_rag-0.0.1-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
|