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Elastic, the Search AI Company, has integrated two advanced Jina reranker models into its Elastic Inference Service (EIS), a GPU-accelerated, managed inference platform. The addition delivers low-latency, high-precision multilingual reranking capabilities to improve relevance in hybrid search, retrieval-augmented generation (RAG), and agentic AI workflows without requiring infrastructure management or reindexing.
As generative AI moves from prototypes to production systems, organizations encounter challenges with relevance accuracy and inference latency—particularly in multilingual environments. Rerankers address this by rescoring and reordering initial search results based on deeper semantic understanding, surfacing the most relevant matches for complex queries. This step boosts the quality of context fed into downstream LLMs in RAG pipelines and agentic applications, leading to more accurate responses and actions.
Elastic Inference Service simplifies deployment by offering GPU-accelerated, managed inference for these models. Teams can integrate high-precision reranking into existing Elastic-powered search and RAG workflows with minimal configuration, eliminating the need to host or optimize models themselves.
Steve Kearns, general manager, Search at Elastic, stated: “Search relevance is foundational to AI-driven experiences. By bringing these Jina reranker models to Elastic Inference Service, we are enabling teams to deliver fast and accurate multilingual search, RAG, and agentic AI experiences, available out of the box with minimal setup.”
The newly available models cater to different scalability and precision requirements:
These models complement Elastic’s existing portfolio of Jina-built embeddings, rerankers, and small language models available on EIS, all hosted on managed GPUs for seamless, high-performance inference.
Elastic Inference Service continues to grow as a managed, ready-to-use inference platform, lowering barriers to advanced AI capabilities. By hosting these Jina rerankers alongside other production-grade models, Elastic enables developers and search teams to focus on building intelligent applications rather than managing underlying infrastructure.
The integration is immediately available to Elastic Cloud users on trial, Serverless, and Hosted plans. For more details, see the blog post: Jina Rerankers bring fast, multilingual reranking to Elastic Inference Service (EIS).
This enhancement reinforces Elastic’s position in delivering production-ready Search AI solutions that combine deep search expertise with AI to transform data into actionable outcomes for enterprises worldwide.
About Elastic
Elastic, the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500.
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