Elasticsearch Open Inference API now Supports Jina AI Embeddings and Rerank Model
Elastic (NYSE: ESTC) has announced that its Elasticsearch Open Inference API now integrates with Jina AI's latest embedding models and reranking products. This integration enables developers building semantic search and RAG applications to utilize Jina AI's high-performance tools without additional integration or development costs.
The collaboration includes support for multilingual text embeddings and reranking, optimized for retrieval, clustering, and classification. The integration combines Jina's resource-efficient search foundation models with Elasticsearch's scalability, allowing developers to build reliable semantic search and RAG applications on a singular platform alongside Elastic models like ELSER.
The support for Jina AI is currently available in Elastic Cloud Serverless, with supported models including jina-embeddings-v3 and jina-reranker-v2-base-multilingual.
Elastic (NYSE: ESTC) ha annunciato che la sua Elasticsearch Open Inference API ora si integra con gli ultimi modelli di embedding e prodotti di reranking di Jina AI. Questa integrazione consente agli sviluppatori che costruiscono applicazioni di ricerca semantica e RAG di utilizzare gli strumenti ad alte prestazioni di Jina AI senza costi aggiuntivi di integrazione o sviluppo.
La collaborazione include supporto per embedding di testo multilingue e reranking, ottimizzati per il recupero, il clustering e la classificazione. L'integrazione combina i modelli fondamentali di ricerca a risorse efficienti di Jina con la scalabilità di Elasticsearch, permettendo agli sviluppatori di creare applicazioni di ricerca semantica e RAG affidabili su un'unica piattaforma insieme ai modelli Elastic come ELSER.
Il supporto per Jina AI è attualmente disponibile in Elastic Cloud Serverless, con modelli supportati che includono jina-embeddings-v3 e jina-reranker-v2-base-multilingual.
Elastic (NYSE: ESTC) ha anunciado que su Elasticsearch Open Inference API ahora se integra con los últimos modelos de embedding y productos de reranking de Jina AI. Esta integración permite a los desarrolladores que construyen aplicaciones de búsqueda semántica y RAG utilizar las herramientas de alto rendimiento de Jina AI sin costos adicionales de integración o desarrollo.
La colaboración incluye soporte para embeddings de texto multilingües y reranking, optimizados para recuperación, clustering y clasificación. La integración combina los modelos de búsqueda eficientes en recursos de Jina con la escalabilidad de Elasticsearch, permitiendo a los desarrolladores construir aplicaciones de búsqueda semántica y RAG confiables en una única plataforma junto a modelos de Elastic como ELSER.
El soporte para Jina AI está actualmente disponible en Elastic Cloud Serverless, con modelos soportados que incluyen jina-embeddings-v3 y jina-reranker-v2-base-multilingual.
Elastic (NYSE: ESTC)는 Elasticsearch Open Inference API가 Jina AI의 최신 임베딩 모델 및 재순위 제품과 통합되었다고 발표했습니다. 이 통합을 통해 개발자들은 추가 통합이나 개발 비용 없이 Jina AI의 고성능 도구를 활용하여 의미 기반 검색 및 RAG 애플리케이션을 구축할 수 있습니다.
이 협력은 검색, 클러스터링 및 분류에 최적화된 다국어 텍스트 임베딩 및 재순위 지원을 포함합니다. 이 통합은 Jina의 자원 효율적인 검색 기반 모델과 Elasticsearch의 확장성을 결합하여 개발자들이 ELSER와 같은 Elastic 모델과 함께 단일 플랫폼에서 신뢰할 수 있는 의미 기반 검색 및 RAG 애플리케이션을 구축할 수 있도록 합니다.
Jina AI에 대한 지원은 현재 Elastic Cloud Serverless에서 제공되며, 지원되는 모델에는 jina-embeddings-v3 및 jina-reranker-v2-base-multilingual이 포함됩니다.
Elastic (NYSE: ESTC) a annoncé que son API Elasticsearch Open Inference s'intègre désormais avec les derniers modèles d'embedding et produits de reranking de Jina AI. Cette intégration permet aux développeurs de créer des applications de recherche sémantique et RAG en utilisant les outils haute performance de Jina AI sans coûts supplémentaires d'intégration ou de développement.
La collaboration inclut un support pour les embeddings de texte multilingues et le reranking, optimisés pour la récupération, le clustering et la classification. L'intégration combine les modèles de recherche économes en ressources de Jina avec la scalabilité d'Elasticsearch, permettant aux développeurs de créer des applications de recherche sémantique et RAG fiables sur une plateforme unique aux côtés de modèles Elastic tels qu'ELSER.
Le support pour Jina AI est actuellement disponible dans Elastic Cloud Serverless, avec des modèles pris en charge incluant jina-embeddings-v3 et jina-reranker-v2-base-multilingual.
Elastic (NYSE: ESTC) hat angekündigt, dass ihre Elasticsearch Open Inference API jetzt mit den neuesten Embedding-Modellen und Re-Ranking-Produkten von Jina AI integriert ist. Diese Integration ermöglicht es Entwicklern, die semantische Suche und RAG-Anwendungen erstellen, die leistungsstarken Werkzeuge von Jina AI ohne zusätzliche Integrations- oder Entwicklungskosten zu nutzen.
Die Zusammenarbeit umfasst Unterstützung für mehrsprachige Text-Embeddings und Re-Ranking, die für Abruf, Clustering und Klassifizierung optimiert sind. Die Integration kombiniert Jinas ressourcenschonende Suchgrundlagenmodelle mit der Skalierbarkeit von Elasticsearch, sodass Entwickler zuverlässige semantische Such- und RAG-Anwendungen auf einer einzigen Plattform zusammen mit Elastic-Modellen wie ELSER erstellen können.
Die Unterstützung für Jina AI ist derzeit in Elastic Cloud Serverless verfügbar, wobei unterstützte Modelle jina-embeddings-v3 und jina-reranker-v2-base-multilingual umfassen.
- Integration with Jina AI's tools without additional development costs
- Enhanced multilingual capabilities through text embeddings and reranking
- Expanded functionality for semantic search and RAG applications
- None.
Insights
This strategic integration significantly strengthens Elastic's competitive position in the rapidly growing AI-powered enterprise search market. By incorporating Jina AI's advanced embedding and reranking models into their Open Inference API, Elastic is executing a sophisticated platform expansion strategy that addresses several critical market demands:
Technical Advantages & Market Positioning:
- The integration eliminates development overhead and integration costs for enterprises, potentially accelerating customer adoption and reducing implementation barriers
- Multilingual support expands Elastic's addressable market, particularly in global enterprises requiring sophisticated language processing capabilities
- The combination of Jina AI's resource-efficient models with Elastic's scalable infrastructure creates a compelling value proposition for cost-conscious enterprises scaling their AI operations
Business Impact & Growth Catalysts:
- This move positions Elastic to capture a larger share of the growing RAG (Retrieval-Augmented Generation) applications market, estimated to be a multi-billion dollar opportunity
- The seamless integration with existing Elastic models like ELSER creates a comprehensive platform that could reduce customer churn and increase platform stickiness
- By offering enterprise-grade semantic search capabilities in production environments, Elastic is targeting high-value enterprise customers who require robust, scalable solutions
This development aligns with the broader industry trend toward integrated AI solutions and could drive increased enterprise adoption of Elastic's platform. The focus on open-source communities and resource efficiency also positions Elastic favorably against proprietary solutions, potentially leading to expanded market share in the enterprise search sector.
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
“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. For a full list of supported models, read the Elastic blog.
About Elastic
Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than
Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
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