| Name | Version | Summary | date |
| strwythura |
1.4.1 |
Construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain. |
2025-08-30 21:47:45 |
| knows |
2.0.2 |
Powerful and user-friendly property graph benchmark that creates graphs with specified node and edge numbers, supporting multiple output formats and visualization |
2025-08-21 19:15:38 |
| kglab |
0.7.0 |
a simple abstraction layer in Python for building knowledge graphs |
2025-08-20 02:53:18 |
| gds-agent |
0.2.0 |
Neo4j GDS MCP Server |
2025-07-30 21:54:39 |
| graphreduce |
1.8.6 |
Leveraging graph data structures for complex feature engineering pipelines. |
2025-07-22 13:25:25 |
| graphrs-python |
0.11.12 |
A Python module that wraps the high-performance `graphrs` Rust library. |
2025-01-11 15:30:01 |
| kurveclient |
0.1.5 |
A client for the Kurve backend. |
2024-11-27 18:08:35 |
| querent |
3.1.2 |
The Asynchronous Data Dynamo and Graph Neural Network Catalyst |
2024-06-10 11:13:54 |