Graph-COM/SubgraphRAG
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
This tool helps AI application developers build more reliable AI systems. It takes a knowledge graph and a user query as input, then extracts relevant subgraphs to provide to a large language model. This process allows the language model to generate more accurate and contextually appropriate responses, reducing common issues like hallucination. Developers working on AI-powered question-answering or information retrieval systems would find this useful.
159 stars. No commits in the last 6 months.
Use this if you are a developer building a retrieval-augmented generation (RAG) system and want to leverage knowledge graphs to improve the accuracy and relevance of your AI's responses.
Not ideal if you are looking for a plug-and-play end-user application; this is a component for AI system developers.
Stars
159
Forks
22
Language
Python
License
MIT
Category
Last pushed
Jan 27, 2025
Commits (30d)
0
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