Unverified95% confidenceFactTime unknown
索引阶段和查询阶段必须使用同一个Embedding模型，否则向量空间不一致会导致检索完全失效
1
Sources
95%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
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.84% similarUnverifiedVectorizing documents and vectorizing user queries must use the same embedding model; otherwise, incompatible vector spaces render similarity calculations meaningless.69% similarUnverifiedVector retrieval relies on vector databases for fuzzy matching and cannot precisely express structural relationships, whereas graph retrieval uses graph databases as the storage medium and is specifically optimized for multi-hop traversal queries.68% similar
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