What is Reranker by Contextual AI?
This is the first reranker that can follow custom instructions about how to rank retrievals (e.g. recency, source, metadata, etc.). Our reranker is the most accurate in the world, outperforming competitors by large margins on the industry-standard benchmarks.
Problem
Users rely on traditional rerankers that lack the ability to follow custom instructions, leading to suboptimal retrieval accuracy and inflexibility in prioritizing factors like recency, source, or metadata.
Solution
A reranker tool enabling users to apply custom instructions (e.g., recency, metadata) to rank retrievals, achieving industry-leading accuracy validated by benchmarks.
Customers
Developers, data scientists, and AI engineers building search engines, recommendation systems, or RAG pipelines requiring context-aware retrieval.
Unique Features
First instruction-following reranker, supports dynamic ranking criteria, outperforms competitors on MTEB and BEIR benchmarks.
User Comments
Revolutionizes retrieval with customization
Significantly improves search relevance
Easy integration via API
Benchmark performance validated
Critical for RAG applications
Traction
Launched on ProductHunt (July 2024), integrated into Contextual AI's platform used by enterprises for AI-driven search, exact revenue/users undisclosed.
Market Size
The global AI in search market is projected to reach $15.6 billion by 2028 (MarketsandMarkets, 2023).
