Bi-Encoder
A Bi-Encoder is a neural network architecture that embeds the query and the candidate document separately into a shared vector space, allowing fast similarity comparisons using mathematical operations like cosine similarity or dot product.
Frequently Asked Questions
Why are Bi-Encoders fast?▼
Because document embeddings can be pre-calculated and indexed in a vector database; at query time, the system only needs to embed the query and calculate simple vector distances.
How do Bi-Encoders compare in accuracy with Cross-Encoders?▼
Bi-encoders are less accurate because they do not calculate joint attention between the query tokens and document tokens.
Quick Facts
- CategoryInformation Retrieval
- Key ApplicationInitial vector database search, sentence similarity embeddings, and high-speed semantic retrieval.
Coverage Trend12 Weeks
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