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Retrieval Failure

A failure to obtain information needed for an answer or operation, or the retrieval of irrelevant or otherwise unsuitable information instead.

Example

A collection contains a condition necessary to answer a question, but retrieval fails to surface it and the model answers using unrelated material.

Distinctions and cautions

When relevant information is already in a long context but is not used, the failure is closer to Long-context Utilization Failure. A disagreement between internal knowledge and supplied information is Knowledge Conflict. Retrieval-Augmented Generation does not guarantee accurate retrieval, and Retrieval Failure is not synonymous with Grounding, which concerns the connection of generated output to evidence.

Evidence

View evidence →

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Title
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
Author / organization
Saad-Falcon et al.
Year
2024
Source type / publication status
NAACL peer-reviewed research; published
Supported concepts / claim context
Context relevance, answer faithfulness, answer relevance, Retrieval Failure.
Scope and limitations
The evaluator design itself can introduce errors.
Access / version note
Published NAACL.
Recorded official URL / DOI / identifier
DOI: 10.18653/v1/2024.naacl-long.20 (DOI resolver)

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Title
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
Author / organization
Wang et al.
Year
2025
Source type / publication status
ACL peer-reviewed research; published
Supported concepts / claim context
Retrieval Failure, RAG, Knowledge Conflict.
Scope and limitations
Controlled RAG analyses; no universal extrapolation to all retrievers or domains.
Access / version note
Published ACL.
Recorded official URL / DOI / identifier
DOI: 10.18653/v1/2025.acl-long.1476 (DOI resolver)