Unverified50% confidenceFactExact time
embedding模型的版本更新可能导致语义向量空间发生偏移，使原本高排名的相关文档被不太相关的文档取代
1
Sources
50%
Confidence
Long-term
Relevance
8/21/2026
First Seen
Sources
Related Claims
UnverifiedGenerating document vectors and query vectors must use the same embedding model, as the vector spaces of different models are mutually incompatible, and mixing them will cause retrieval to fail.66% similarUnverifiedIf only the data of newly added classes is used to fine-tune an expanded classification head, the model is highly prone to catastrophic forgetting, rapidly losing its ability to recognize the original classes.66% similarUnverified由于历史记录同样受影响，模型名称消失更可能是前端统一显示逻辑层的问题，而非底层数据丢失64% similar
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