claim
Retrieval-Augmented Generation (RAG) enables Large Language Models (LLMs) to ground their outputs in dynamically retrieved external evidence.
Authors
Sources
- Grounding LLM Reasoning with Knowledge Graphs - arXiv arxiv.org via serper
- Bridging the Gap Between LLMs and Evolving Medical Knowledge arxiv.org via serper
Referenced by nodes (2)
- Large Language Models concept
- Retrieval-Augmented Generation (RAG) concept