KG_RAG
A knowledge graph augmented retrieval-generation framework that empowers large language models to handle knowledge-intensive tasks.
CommonProductProductivityKnowledge GraphNatural Language Processing
KG-RAG is a task-agnostic framework that combines the explicit knowledge from a knowledge graph with the implicit knowledge of a large language model. Here, we utilize a massive biomedical knowledge graph SPOKE as the provider of biomedical context. A key feature of KG-RAG is its ability to extract 'prompt-relevant context' from the SPOKE knowledge graph, defined as the minimal context required to respond to a user prompt.
KG_RAG Visit Over Time
Monthly Visits
499904316
Bounce Rate
37.31%
Page per Visit
5.8
Visit Duration
00:06:52
