R · RAG · reranker
Reranker
A secondary model that reorders retrieval results for relevance.
In one sentence
A reranker is a (usually cross-encoder) model that takes the top-N candidates from a first-pass retriever and reorders them by predicting a fine-grained relevance score for each query-passage pair.
When it matters
When the first-pass retriever returns many plausible candidates and you need to spend more compute on ranking only the survivors.
A real-world example
helpcode KB retrieves 200 candidates per query (fast, fuzzy) and reranks the top 50 with a cross-encoder; the LLM only sees the top 12. End-to-end latency stays under 1.4 s.
Curated by helpcode research team · Last reviewed 2026-05-22
Where this matters in practice
Industry
Electrical appliances
Self-service troubleshooting with QR codes on each unit — from coffee machines to washing machines. Guides, error code resolution, spare parts identification.
Industry
HVAC systems
Diagnostics for chillers, boilers and ventilation. Schematic search across PDFs, voice-first for hands-busy work.
Industry
Facility management
Tenant incident reporting via chat, voice or QR, with auto-routing to your CMMS.
Industry
Consumer electronics
Interactive setup wizards, multi-language by default, integrated with warranty + RMA flow.
Industry
Power tools
Battery diagnostics, calibration walkthroughs, warranty + RMA flow integration.
Industry
Home appliances
Washing machines, ovens, dishwashers — guided fault isolation before a technician is dispatched.