2026
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
AAAI 2026technical
Retrieval-augmented generation (RAG) improves the response quality of large language models (LLMs) by retrieving knowledge from external databases. Typical RAG approaches split the text database into chunks, organizing them in a flat structure for efficient searches. To better capture the inherent d