RGL is a friendly and efficient Graph Retrieval-Augmented Generation (GraphRAG) library for AI researchers, providing seamless integration with DGL and PyG while offering high-performance graph retrieval algorithms, many of which are optimized in C++ for efficiency.
✅ Seamless Integration – Works smoothly with DGL and PyG
⚡ Optimized Performance – C++-backed retrieval algorithms for speed
🧠 AI-Focused – Tailored for GraphRAG research and applications
🔗 Scalability – Handles large-scale graphs with ease
- Homepage: https://github.com/PyRGL/rgl
- Documentation: https://rgl.readthedocs.io
- DGL: https://www.dgl.ai/pages/start.html
- PyG: https://pytorch-geometric.readthedocs.io/en/latest/install/installation.html
pip install rglcd clibs
./build_linux.shcd demo
python demo_x.py