Retrieval-Augmented Generation (RAG) systems often split documents into 512-token chunks, which can result in fragmented information rather than complete answers.

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