Knowledge Tree
claim
Retrieval-augmented generation (RAG) allows LLMs to ground responses in external data instead of relying solely on pretraining, which helps mitigate the risk of LLMs producing misleading or incorrect information.
Authors
Sources
- How to Improve Multi-Hop Reasoning With Knowledge Graphs and ... neo4j.com via serper
Referenced by nodes (2)
- Large Language Models concept
- Retrieval-Augmented Generation (RAG) concept