Unverified70% confidenceFactExact time
The two most frequently occurring failure types were missing data or fields, and inconsistencies in search, filtering, or sorting criteria.
2
Sources
70%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
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UnverifiedData from failure cases has unique value in telling models which paths do not work, and this type of negative information is severely lacking in public literature.73% similarUnverifiedThe five failure modes of retrieval include: vocabulary mismatch, lost context, the question is not the answer, the answer is the entire document, and retrieved but still wrong.73% similarUnverifiedThe same type of error may correspond to completely different causes: unclear instructions and retrieval that fails to cover key documents both manifest as "answering the wrong question"; lacking real-time values and lacking private knowledge both manifest as "fabricating content"; insufficient base model capability and noisy training data labels may also produce seemingly similar errors.73% similarUnverifiedIn data quality validation, the costs of different errors are asymmetric: incorrectly accepting dirty data may cause downstream analysis to break down, while falsely rejecting good data only loses one sample.71% similarUnverifiedIn agentic search, bounded retries need to be combined with error classification: transient errors (timeouts, rate limiting) are worth retrying, whereas semantic failures (queries with no results, irrelevant pages) often do not benefit from retries and require switching to query rewriting or a different data source.71% similar
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