Retrieval-Augmented Generation (RAG) augments Large Language Model Agents (LMAs) by dynamically injecting specific information into prompts at inference time without modifying the model’s weights.

Authors

• Person: Not available Organization: arXiv
  KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv

Sources

• KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv arxiv.org arXiv via serper

Referenced by nodes (2)

• Retrieval-Augmented Generation (RAG) concept
• Large Language Model Agents concept