AppliedAIPrep logoAppliedAI/Prep

bi encoder

Applied AI interview questions tagged bi encoder, across every topic.

2 questions · 0 unlocked for you
Open full answer →
Open full answer →

Concepts behind "bi encoder"

The curriculum that explains the ideas these questions test.

Core
🤖 Retrieval & AgentsSign in
RerankingReranking is a two-stage retrieval design: a fast bi-encoder fetches a broad candidate set for recall, then a slower but more accurate cross-encoder rescoring each (query, document) pair reorders them for precision. The cross-encoder is better because it reads query and document together rather than as precomputed vectors. Reranking lets you feed fewer, better chunks to the model, often the highest-ROI improvement to a RAG system. Applied-AI interviews probe it because it is the cheapest large win in retrieval quality.
Explore the full curriculum →