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Jina Reranker v1 Tiny - en

A fast neural text reranking model supporting 8192 sequence length

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About

Jina Reranker v1 Tiny model is a neural text reranking model, designed to enhance the relevance of search results. This model is the fastest reranker model in the Jina Reranker suite of models, offering fast and memory-efficient reranking process.

For our most accurate (and larger) reranker models, please see Jina Reranker v1 Base - en or Jina Reranker v1 Turbo - en.

Jina Reranker v1 Tiny complements text embedding models and refines search results by prioritizing documents relevant to a query.

This state-of-the-art reranker model enables a variety of applications that rely on precise search results, improved information retrieval, and better data organization. Use-cases: Vector search, retrieval augmented generation. See our embedding models (Jina Embeddings v2) on Sagemaker for state-of-the-art 8k embedding models for vector search.

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