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bi encoder

AI, ML & GenAI interview questions tagged bi encoder, across every topic.

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Concepts behind "bi encoder"

The curriculum that explains the ideas these questions test.

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🤖 Retrieval & AgentsSign in
RerankingReranking is a two-stage retrieval design: a fast bi-encoder grabs a broad candidate set for recall, then a slower but more accurate cross-encoder rescores each (query, document) pair to reorder them for precision. The cross-encoder wins because it reads query and document jointly instead of as precomputed vectors. Reranking lets you hand the model fewer, better chunks, often the highest-ROI improvement to a RAG system. AI, ML, and GenAI interviews test it because it is the cheapest large win in retrieval quality.
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