The GraphRAG project is a data pipeline and transformation suite designed to extract meaningful, structured data from unstructured text using LLMs
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
graphrag-0.0.0.tar.gz
(1.2 kB
view details)
Built Distribution
File details
Details for the file graphrag-0.0.0.tar.gz.
File metadata
- Download URL: graphrag-0.0.0.tar.gz
- Upload date:
- Size: 1.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 818c8792d1f73c853987d1c7a3849ce5ca6940f7d47e00a604493dc84059f5fe |
|
| MD5 | 4e0272a3ecc6b10eba717ac4d79adf1a |
|
| BLAKE2b-256 | de57209981d12fae4ffe0710e702ddd89b2e596609fab4f0c5636c758ca5a891 |
File details
Details for the file graphrag-0.0.0-py3-none-any.whl.
File metadata
- Download URL: graphrag-0.0.0-py3-none-any.whl
- Upload date:
- Size: 1.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3954f68b7ec92920fb53e687f06fe3b1bc4610ed335af9d8b6b758c0d37278d9 |
|
| MD5 | 0a9614213b13bbb01db95b8db71955a2 |
|
| BLAKE2b-256 | 656f3a8e968547adb643e708367f6c51403f9e5442f707814e6bf0fe2d3deb00 |
