engineering · 1 min read
Reranking: The Cheapest RAG Quality Win Most Teams Skip
A cross-encoder rerank step turns mediocre retrieval into great retrieval. Here is how Bhogar AI ships reranking with sub-100 ms latency.
BABhogar AI TeamProduct & Engineering
Rerankers are the single best price-performance lever in RAG. A small cross-encoder applied to your top-50 retrieved chunks turns mediocre retrieval into great retrieval, often for under 100 ms of added latency.
Why it matters
The reason most teams skip reranking is operational: another model to host, another endpoint to monitor, another bill. Bhogar AI removes that friction by shipping reranking as a managed service inside the platform.
How Bhogar AI approaches it
Bhogar AI offers a managed reranker (with Cohere, BGE and proprietary options) accessible from any knowledge base with one toggle. Reranker latency is included in your KB SLO and counted toward your unified bill.
- Managed rerankers: Cohere, BGE, Bhogar AI proprietary
- One-toggle enablement per knowledge base
- Sub-100 ms p95 reranking on top-50
- Unified billing and observability
- A/B harness to compare rerankers on your own data
What you get
Customers enabling reranking see top-3 retrieval precision lift 12-25 points without changing their embedding model or chunking strategy.