Accelerating AI innovation: Introducing the Elastic AI Ecosystem

Generative AI (GenAI) is transforming the business landscape we’ve come to know. To simplify and accelerate how developers build and deploy their retrieval augmented generation (RAG) applications —  Elastic is proud to announce the Elastic AI Ecosystem — bringing together a rich set of Elasticsearch vector database integrations with industry-leading AI technology providers.

Meet the ecosystem of integrations accelerating AI application development — one integration at a time: Alibaba Cloud, Amazon Web Services (AWS), Anthropic's Claude, Cohere, Confluent, Dataiku, DataRobot, Galileo, Google Cloud, Hugging Face, LangChain, LlamaIndex, Mistral AI, Microsoft, NVIDIA, OpenAI, Protect AI, Red Hat, Vectorize.io, and Unstructured.

The foundation of generative AI is data — and the Elastic Search AI Platform is where private enterprise data meets AI. Elasticsearch’s vector database efficiently creates, stores, and searches vector embeddings at scale. In addition, we offer multiple types of retrieval — text, sparse and dense vector, and hybrid — that allow developers to choose suitable AI models with Elasticsearch Open Inference API. We’re integrating with AI technology providers that are focused on: 

• AI models

• Data prep and ingestion platforms

• AI models evaluation and experimentation

• GenAI development frameworks

• Machine learning operations (MLOps) capabilities

• AI security

• Cloud infrastructure of choice

“AI is only as effective as the data powering it. Without real-time, fresh data sets, even the most advanced AI applications will struggle to deliver accurate, relevant insights,” said Paul Mac Farland, SVP of partner and innovation ecosystem at Confluent.“Seamlessly integrated with Elastic, Confluent’s fully managed data streaming platform — with unified Apache Kafka^® and Apache Flink^® — allows businesses to build the real-time, always up-to-date data foundation that highly contextualized, production-ready search AI applications require.”

“We have partnered with Elastic to empower developers to build trust in their GenAI applications by leveraging Elasticsearch vector database and Galileo's Evaluation Intelligence Platform,” said Vikram Chatterji, CEO and co-founder at Galileo.

“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 multicloud GPU infrastructure, to build semantic search experiences in Elasticsearch.”

“Our partnership with Elastic helps developers build GenAI applications faster and more effectively. Leveraging LangGraph alongside Elasticsearch’s vector database, developers can create high-impact agentic applications that streamline the path from development to production,” said Harrison Chase, co-founder and CEO at LangChain.

"Our collaboration with Elastic gives users robust tools for AI application development. LlamaIndex integration with Elasticsearch vector database lets users build highly capable agentic applications connected to their enterprise data," said Jerry Liu, CEO at Llamalndex.

"Protect AI is committed to building a safer AI-powered world,” said Ian Swanson, CEO at Protect AI. “Partnering with Elastic will allow us to bring our comprehensive platform to developers as they build AI applications with Elasticsearch."

“Our collaboration with Elastic allows developers to leverage the scalability and relevance of the Elasticsearch vector database directly within Vectorize.io's pipelines, streamlining the iterative development of high-quality retrieval augmented generation applications," said Chris Latimer, co-founder and CEO at Vectorize.io.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, ESRE, Elasticsearch Relevance Engine and associated marks are trademarks, logos or registered trademarks of Elasticsearch N.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.