Precision ranking that makes every search result matter
Rerank re-scores retrieved documents against the query to surface only the most relevant results — giving AI agents, RAG pipelines, and search systems a decisive accuracy edge.
Trusted by industry leaders and developers worldwide
Elevate every retrieval pipeline
Rerank slots into any search or RAG system to deliver higher-quality results at every step.
Give agents the precision they need to act on the right data
Rerank acts as a scoring layer that lets AI agents filter and prioritize retrieved information with high precision — ensuring agents reason over only the most relevant context before taking action.
- ✓Eliminate noise from large retrieval candidate sets
- ✓Boost agent accuracy with relevance-ranked context windows
- ✓Reduce hallucinations by keeping agents grounded in top results
Built for retrieval excellence
Second-stage precision ranking
Rerank operates as a cross-encoder, directly comparing the query against every candidate document to produce a calibrated relevance score — far more accurate than bi-encoder retrieval alone.
Works with any retrieval stack
Slot Rerank into Elasticsearch, OpenSearch, Pinecone, Weaviate, or any keyword or vector pipeline. No re-indexing. No infrastructure changes.
Multilingual ranking
Score and reorder documents across 100+ languages, including cross-language retrieval where the query and documents are written in different languages.
Enterprise-ready by design
Privately deployable
Run Rerank within your own VPC, on-premises environment, or through AndAI Hub's secure Model Vault inference platform — data never leaves your perimeter.
Production-scale latency
Designed for real-time applications with sub-100ms re-ranking latency, even when re-scoring hundreds of candidates per query.
API-first integration
A single API call transforms any retrieval pipeline into a precision search system. Full SDK support for Python, TypeScript, and Java.
Enterprise-grade security
SOC 2 compliant, role-based access controls, and full audit logging — built for organizations where data governance is non-negotiable.
Pair Rerank with the full retrieval stack
Rerank works alongside AndAI Hub's other retrieval and enterprise products to deliver end-to-end AI accuracy.
North
The enterprise AI workplace that puts Rerank's precision at the centre of every search, agent, and knowledge workflow — across your entire organization.
Explore North →Compass
The end-to-end enterprise search system powered by Embed and Rerank — connecting all your data sources with role-based access controls and sub-second retrieval.
Explore Compass →“AndAI Hub Rerank transformed our enterprise search from a frustrating keyword lottery into a system that actually understands what our users need. The improvement in result relevance was immediate and measurable — our support resolution times dropped significantly from day one.”
Rerank your way to better answers
- ✓Works with any retrieval stack — no re-indexing needed
- ✓Up to 2× improvement in RAG answer quality
- ✓Sub-100ms latency for real-time applications
- ✓Fully private — deploy in your own VPC or on-premises