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What is a Bi-Encoder?

An encoder that independently generates embeddings for queries and documents for scalable retrieval.

More about Bi-Encoder:

Bi-Encoders independently encode queries and documents into vector embeddings, allowing for efficient similarity computation in vector databases. While less accurate than cross-encoders, bi-encoders are computationally efficient, making them ideal for large-scale retrieval tasks like dense retrieval.

Bi-encoders are a core component in systems like retrieval augmentation pipelines and semantic search, enabling fast and scalable retrieval.

Frequently Asked Questions

What are the advantages of bi-encoders?

They enable efficient and scalable retrieval by precomputing embeddings for queries and documents.

How do bi-encoders compare to cross-encoders?

Bi-encoders are faster and more scalable but less accurate than cross-encoders, which analyze query-document interactions.

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