Sumit Umbardand argues that stuffing entire documents into Large Language Model prompts is not a viable solution to RAG limitations, as it does not guarantee understanding of complete information and increases the prevalence of Context Rot.

Authors

• Person: Sumit Umbardand Organization: LinkedIn
  RAG Hallucinations: Retrieval Success ≠ Generation Accuracy

Sources

• RAG Hallucinations: Retrieval Success ≠ Generation Accuracy www.linkedin.com Sumit Umbardand · LinkedIn via serper

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept