Unverified50% confidenceFactExact time
嵌入模型采用双塔（Bi-encoder）架构，将查询和文档独立编码成向量，然后通过余弦相似度等方式计算距离
1
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50%
Confidence
Long-term
Relevance
8/6/2026
First Seen
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Related Claims
UnverifiedA Bi-Encoder encodes queries and documents independently into vectors and computes relevance via cosine similarity or dot product; document vectors can be pre-computed offline and stored in a vector database.78% similarUnverifiedRetrieval BERT uses a Bi-Encoder (dual-tower model), where two sentences each generate a vector and similarity is then computed; vectors can be precomputed offline, enabling fast online matching.77% similarUnverified现代Sentence Embedding模型通常采用双塔（Bi-Encoder）结构，查询和文档分别独立编码为向量77% similarUnverifiedBi-Encoder将问题和文档分别独立编码成向量再计算相似度，Cross-Encoder将问题和候选文档拼接后一起输入模型通过注意力机制充分交互72% similarUnverifiedThe retrieval stage uses a Bi-Encoder dual-tower model (such as text-embedding-ada-002 or the BGE series), with vectors precomputed offline and stored in a vector database (such as FAISS or Milvus).69% similar
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