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  5. Bi-Encoder
Retrieval & Searchaka dual encoder

Bi-Encoder

A model that encodes queries and documents independently into vectors, enabling fast similarity search via pre-computed document embeddings — less accurate than cross-encoders but scalable.

Ask Melo about this← all terms

A bi-encoder uses two (often shared-weight) encoder networks to independently map queries and documents into the same vector space. Because document embeddings can be pre-computed and indexed, retrieval at query time reduces to a nearest-neighbor search, making bi-encoders the backbone of most production semantic search systems. The trade-off is that independent encoding prevents the deep query-document interaction that makes cross-encoders more accurate.

Related terms

Embedding ModelCross-EncoderVector DatabaseNearest Neighbor SearchMulti-Vector RetrievalSearch Subagent