The quality of Retrieval-augmented generation (RAG) outputs is highly dependent on the quality of the retrieved data, as irrelevant or poor-quality data can lead to incorrect outputs.

Authors

• Person: Not available Organization: Springer
  A survey on augmenting knowledge graphs (KGs) with large ...

Sources

• A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer via serper

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept