AI Chatbot Terms > 1 min read

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

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

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

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