metadata
tags:
- graph-rag
- rag
- large-language-models
- knowledge-graph
- prompt-engineering
license: mit
paperswithcode_id: propex-rag
arxiv: 2511.01802
PROPEX-RAG: Enhanced GraphRAG using Prompt Driven Prompt Execution
ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs.
Our approach unifies symbolic graph construction with prompt-aware online retrieval, enabling precise entity extraction, fact filtering, and multi-hop passage re-ranking.
This design achieves high performance on complex QA tasks while maintaining scalability and efficiency, offering a practical and interpretable alternative to existing graph-based RAG systems.
Check out our papers to learn more:
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Citation
If you find this work useful, please consider citing our papers:
ProPEX-RAG
@article{sarnaik2025propex,
title = {PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution},
author = {Sarnaik, Tejas and Shah, Manan and Hegde, Ravi},
journal = {arXiv preprint arXiv:2511.01802},
year = {2025}