Elastic Announces AI Ecosystem to Accelerate GenAI Application Development
Elastic (NYSE: ESTC) has announced its AI ecosystem to accelerate enterprise development of Retrieval Augmented Generation (RAG) applications. The ecosystem provides developers with integrated AI technologies and tools for the Elasticsearch vector database, featuring pre-built integrations from leading AI companies.
The initiative includes partnerships with major tech players like AWS, Google Cloud, Microsoft, OpenAI, and NVIDIA, focusing on delivering relevant experiences through RAG, data preparation, AI model experimentation, GenAI development frameworks, and secure AI application deployment.
Elastic (NYSE: ESTC) ha annunciato il proprio ecosistema AI per accelerare lo sviluppo aziendale delle applicazioni di Retrieval Augmented Generation (RAG). L'ecosistema offre agli sviluppatori tecnologie e strumenti AI integrati per il database vettoriale Elasticsearch, con integrazioni pre-costruite da aziende leader nel settore AI.
L'iniziativa prevede partnership con importanti attori tecnologici come AWS, Google Cloud, Microsoft, OpenAI e NVIDIA, concentrandosi sulla fornitura di esperienze pertinenti attraverso RAG, preparazione dei dati, sperimentazione di modelli AI, framework di sviluppo GenAI e distribuzione sicura delle applicazioni AI.
Elastic (NYSE: ESTC) ha anunciado su ecosistema de IA para acelerar el desarrollo empresarial de aplicaciones de Retrieval Augmented Generation (RAG). El ecosistema proporciona a los desarrolladores tecnologías y herramientas de IA integradas para la base de datos vectorial Elasticsearch, con integraciones preconstruidas de empresas líderes en IA.
La iniciativa incluye asociaciones con grandes actores tecnológicos como AWS, Google Cloud, Microsoft, OpenAI y NVIDIA, centrando su atención en ofrecer experiencias relevantes a través de RAG, preparación de datos, experimentación con modelos de IA, marcos de desarrollo de GenAI y despliegue seguro de aplicaciones de IA.
Elastic (NYSE: ESTC)는 검색 보강 생성(RAG) 애플리케이션의 기업 개발을 가속화하기 위한 AI 생태계를 발표했습니다. 이 생태계는 개발자에게 Elasticsearch 벡터 데이터베이스를 위한 통합 AI 기술과 도구를 제공하며, 주요 AI 기업의 사전 구축된 통합을 특징으로 합니다.
이 이니셔티브는 AWS, Google Cloud, Microsoft, OpenAI, NVIDIA와 같은 주요 기술 기업들과의 파트너십을 포함하며, RAG, 데이터 준비, AI 모델 실험, GenAI 개발 프레임워크 및 안전한 AI 애플리케이션 배포를 통해 관련된 경험을 제공하는 데 중점을 두고 있습니다.
Elastic (NYSE: ESTC) a annoncé son écosystème AI pour accélérer le développement des applications de Retrieval Augmented Generation (RAG) au sein des entreprises. Cet écosystème offre aux développeurs des technologies et des outils AI intégrés pour la base de données vectorielle Elasticsearch, avec des intégrations préconstruites d'entreprises leaders dans le domaine de l'IA.
L'initiative inclut des partenariats avec des acteurs technologiques majeurs tels que AWS, Google Cloud, Microsoft, OpenAI et NVIDIA, en se concentrant sur la livraison d'expériences pertinentes via RAG, la préparation des données, l'expérimentation de modèles AI, les cadres de développement GenAI ainsi que le déploiement sécurisé des applications AI.
Elastic (NYSE: ESTC) hat sein AI-Ökosystem angekündigt, um die Unternehmensentwicklung von Retrieval Augmented Generation (RAG)-Anwendungen zu beschleunigen. Das Ökosystem bietet Entwicklern integrierte KI-Technologien und -Werkzeuge für die Elasticsearch-Vektordatenbank und umfasst vorgefertigte Integrationen von führenden KI-Unternehmen.
Die Initiative umfasst Partnerschaften mit großen Technologiefirmen wie AWS, Google Cloud, Microsoft, OpenAI und NVIDIA, mit dem Fokus auf die Bereitstellung relevanter Erlebnisse durch RAG, Datenaufbereitung, KI-Modellexperimentierung, GenAI-Entwicklungsframeworks und sichere KI-Anwendungsbereitstellung.
- Launch of comprehensive AI ecosystem with industry-leading partners
- Integration with major tech companies enhances product offering
- Elasticsearch maintains position as most widely downloaded vector database
- Strategic expansion into growing GenAI market
- None.
Insights
Elastic's AI Ecosystem launch represents a significant strategic move in the competitive AI infrastructure market. The integration with major players like OpenAI, Google Cloud and Microsoft positions Elasticsearch's vector database as a central hub for enterprise RAG applications. This ecosystem approach addresses a critical market need by simplifying the complex integration landscape for developers.
The pre-built integrations with 20+ leading AI companies create a comprehensive development environment that could significantly reduce time-to-market for enterprise AI applications. This positions Elastic to capture a larger share of the rapidly growing GenAI infrastructure market, particularly in enterprise search and RAG applications where they already have a strong foothold.
The endorsements from industry leaders like RedMonk and participation of major cloud providers suggest strong market validation. However, success will depend on Elastic's ability to maintain seamless integrations and keep pace with the rapidly evolving AI technology landscape.
Elasticsearch vector database integrations with industry-leading AI technology give developers best-in-class resources to expedite the deployment of RAG applications
“The enterprise AI market is evolving at an accelerating rate, with new products and services arriving daily. While this dizzying array of options expands the portfolio of capabilities available to enterprises and their developers, it can simultaneously slow them down by increasing the number of choices and integrations that need to be made,” said Stephen O’Grady, principal analyst with RedMonk. “One way to balance the need for new capabilities with a streamlined developer experience is by thoughtfully curating and integrating tools to maximize their collective capabilities. This is what Elastic designed its AI Ecosystem to do.”
The Elastic AI Ecosystem offers developers pre-built Elasticsearch vector database integrations from a trusted network of industry-leading AI companies to deliver seamless access to the critical components of GenAI applications across AI models, cloud infrastructure, MLOps frameworks, data prep and ingestion platforms, and AI security & operations.
These integrations help developers:
- Deliver more relevant experiences through RAG
- Prepare and ingest data from multiple sources
- Experiment with and evaluate AI models
- Leverage GenAI development frameworks
- Observe and securely deploy AI applications
The Elastic AI Ecosystem includes integrations with Alibaba Cloud, Amazon Web Services (AWS), Anthropic's Claude, Cohere, Confluent, Dataiku, DataRobot, Galileo, Google Cloud, Hugging Face, LangChain, LlamaIndex, Microsoft, Mistral AI, NVIDIA, OpenAI, Protect AI, RedHat, Vectorize, and Unstructured.
“Elasticsearch is the most widely downloaded vector database in the market, and customers and developers want to use it with the ecosystem's best models, platforms, and frameworks to build compelling RAG applications,” said Steve Kearns, general manager of Search at Elastic. “With our handpicked ecosystem of technology providers, we’re making it easier for developers to leverage Elastic’s vector database and choose the best combination of leading-edge technologies for their RAG applications. These integrations will help developers test, iterate, and deliver their RAG applications to production faster and improve the accuracy of their Gen AI applications.”
For more information on the Elastic AI Ecosystem, read here.
What the Elastic AI Ecosystem is saying:
- "We’re committed to making it easy for developers to build and deploy generative AI applications,” said Stephen Orban, vice president, Migrations, ISVs, & Marketplace, Google Cloud. “Through our partnership with Elastic, enterprises and developers gain access to powerful resources, streamlined frameworks, and robust governance tools – all powered by Google Cloud’s AI-optimized infrastructure to deliver next-gen AI capabilities.”
- “Combining Hugging Face’s Inference Endpoints with Elastic’s retrieval relevance tools helps users gain better insights and improve search functionality,” said Jeff Boudier, head of product at Hugging Face. “With this integration, developers get a complete solution to leverage the best open models, hosted on Hugging Face multi-cloud GPU infrastructure, to build semantic search experiences in Elasticsearch.”
- “Our work with Elastic helps developers build GenAI applications faster and more effectively,” said Harrison Chase, co-founder and CEO of LangChain. “Leveraging LangGraph alongside Elasticsearch’s vector database, developers can create high-impact agentic applications that streamline the path from development to production.”
- “Elastic's integrations with Microsoft Azure AI solutions enable their users to use cutting-edge technology to build production-ready AI applications for their customers. This dynamic collaboration is a powerhouse of continuous innovation, driving benefits for customers, Elastic, Microsoft, and the broader partner ecosystem,” said Liliana Gonzalez, senior director, Partner Development, at Microsoft.
- “Broadening our collaboration with Elastic strengthens users’ power of choice on a reliable, consistent AI platform,” said Steven Huels, vice president and general manager, AI Engineering at Red Hat. “We’re pleased to bring new support for RAG patterns, a critical first step for enterprises beginning their AI journeys and building trust within the AI marketplace.”
Additional Resources
- Elastic AI Ecosystem Information
- Elastic AI Ecosystem Blog
- Tech Provider Integrations
- Integration How-to Resources
- Vector DB Technical Podcast
- For the latest in Gen AI learnings and resources, bookmark Elastic Search AI Labs
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 search, observability and security solutions 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.
View source version on businesswire.com: https://www.businesswire.com/news/home/20241114869794/en/
Alexia Russell
PR-team@elastic.co
Source: Elastic N.V.
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