A retrieval-augmented generation system that combines an entity knowledge graph and a document similarity graph to answer multi-hop questions accurately in a single retrieval pass.
In ICASSP 2024-2024 IEEE International Conference on Acous- tics, Speech and Signal Processing (ICASSP), pages 11661–11665
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KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
A retrieval-augmented generation system that combines an entity knowledge graph and a document similarity graph to answer multi-hop questions accurately in a single retrieval pass.