Skip to main content

Elasticsearch Open Inference API Supports Jina AI Embeddings and Rerank Model

Developers using Elastic to build search and RAG applications can now use the latest Jina AI embedding and reranking models without additional integration or development costs

Elastic announced the Elasticsearch Open Inference API now supports Jina AI’s latest embedding models and reranking products. 

Developers building semantic search and RAG applications with the Elasticsearch vector database now benefit from Jina AI’s high-performance, cost-effective tools for GenAI information retrieval and semantic applications. This integration includes support for multilingual text embeddings and multilingual reranking, and is optimized for retrieval, clustering, and classification.

“Integrating Jina AI’s embeddings and reranker models with the Elasticsearch Open Inference API brings enterprise-grade semantic search to production environments while strengthening our open-source communities,” said Dr. Saahil Ognawala, head of product at Jina AI. “Combining Jina’s resource-efficient and open-weight search foundation models with Elasticsearch's proven scalability enables developers to easily build reliable semantic search and RAG applications.”

“Elastic is committed to providing open GenAI solutions that enable developers to build the next generation of search experiences,” said Ajay Nair, general manager, Platform at Elastic. “Our collaboration with Jina AI gives our users access to Jina’s high-performance tools on a singular Elasticsearch platform alongside Elastic models like ELSER, providing a seamless, streamlined building experience designed to create first-class generative AI applications.”

Support for Jina AI is available today in Elastic Cloud Serverless. Supported Jina AI models include jina-embeddings-v3, jina-reranker-v2-base-multilingual, and more. 

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

Elasticsearch Open Inference API Supports Jina AI Embeddings and Rerank Model

Developers using Elastic to build search and RAG applications can now use the latest Jina AI embedding and reranking models without additional integration or development costs

Elastic announced the Elasticsearch Open Inference API now supports Jina AI’s latest embedding models and reranking products. 

Developers building semantic search and RAG applications with the Elasticsearch vector database now benefit from Jina AI’s high-performance, cost-effective tools for GenAI information retrieval and semantic applications. This integration includes support for multilingual text embeddings and multilingual reranking, and is optimized for retrieval, clustering, and classification.

“Integrating Jina AI’s embeddings and reranker models with the Elasticsearch Open Inference API brings enterprise-grade semantic search to production environments while strengthening our open-source communities,” said Dr. Saahil Ognawala, head of product at Jina AI. “Combining Jina’s resource-efficient and open-weight search foundation models with Elasticsearch's proven scalability enables developers to easily build reliable semantic search and RAG applications.”

“Elastic is committed to providing open GenAI solutions that enable developers to build the next generation of search experiences,” said Ajay Nair, general manager, Platform at Elastic. “Our collaboration with Jina AI gives our users access to Jina’s high-performance tools on a singular Elasticsearch platform alongside Elastic models like ELSER, providing a seamless, streamlined building experience designed to create first-class generative AI applications.”

Support for Jina AI is available today in Elastic Cloud Serverless. Supported Jina AI models include jina-embeddings-v3, jina-reranker-v2-base-multilingual, and more. 

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...