Integrations

Established in 2009, Alibaba Cloud (www.alibabacloud.com) is the digital technology and intelligence backbone of Alibaba Group. It offers a complete suite of cloud services to customers worldwide, including elastic computing, database, storage, network virtualization services, large-scale computing, security, big data analytics, machine learning and artificial intelligence (AI) services. Alibaba has been named the leading IaaS provider in Asia Pacific by revenue in U.S. dollars since 2018, according to Gartner. It has also maintained its position as one of the world’s leading public cloud IaaS service providers since 2018, according to IDC.

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Anthropic is an AI lab whose research and products put safety at the frontier. As a public benefit corporation, Anthropic is dedicated to ensuring the world safely makes the transition through transformative AI. Their multidisciplinary team creates reliable, interpretable, and steerable AI systems. Anthropic’s flagship product is Claude, a family of foundational AI models designed for enterprise applications. Learn more about Anthropic at anthropic.com.

Cohere builds models for use cases such as embeddings and reranking, used by companies to build production-ready, scalable, and efficient AI-powered applications.

Google’s Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. Vertex AI provides access Vertex AI Studio, Agent Builder, and 150+ foundation models, including Gemini 1.5 Pro and Gemini 1.5 Flash.

Open-source hub dedicated to AI/ML models and tools. Seamlessly integrate Hugging Face and Elasticsearch by leveraging the transformers library or deploying available models directly in Elasticsearch.

IBM® watsonx™ AI and Data Platform includes core components and AI assistants designed to scale and accelerate AI's impact using trusted data. The platform offers a range of machine learning (ML) models, including those for text embeddings and text completion.

Jina AI develops and distributes compact, high-performance Search Foundation models for multilingual text and image processing.

Explore LangChain’s synergy with Elastic and learn how to leverage the LangChain ElasticsearchStore, use the LangChain self-query retriever, apply the LangChain ElasticsearchRetriever, and more.

Use LlamaIndex with Elastic as a data source, embedding model, vector store, index store, KV store, or document store.

Microsoft’s Azure OpenAI Service provides REST API access to OpenAI's powerful language models, which can be easily adapted to your specific tasks. The model catalog in Azure AI Studio features hundreds of models across model providers such as Azure OpenAI service, Mistral, Meta, Cohere, Nvidia, and Hugging Face, including models trained by Microsoft

Mistral AI provides open, efficient, helpful and trustworthy AI models through ground-breaking innovations.

Integrate OpenAI with Elastic by leveraging OpenAI's embedding models, the chat completions API or other advanced integration options.

Red Hat Openshift AI is a flexible, scalable AI and ML platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments.

Unstructured provides tools to ingest and preprocess unstructured documents for Retrieval Augmented Generation (RAG) and Fine Tuning.

Unstructured offers the following products:

• Unstructured API - The quickest way to get started for document transformation.

• Platform - Entirely no code enterprise platform to get all your data RAG-ready.

• Open Source - Best for prototyping.

Use Vectorize to optimize your RAG workflows with Elasticsearch as the vector database.

Aryn is an AI-powered document parsing and ETL system for complex, unstructured data like PDFs, HTML, presentations, and more. It can process 30+ file formats and extract tables, images, and more with high quality. You can use Aryn to chunk documents, extract metadata, create vector embeddings, and load your Elasticsearch vector and keyword indexes with high-quality data.

NVIDIA cuVS is an open-source library for GPU-accelerated vector search and data clustering that enables faster vector searches and index builds. NVIDIA NIM™ provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models across clouds, data centers, RTX™ AI PCs and workstations. NIM microservices expose industry-standard APIs for simple integration into AI applications, development frameworks, and workflows. Built on pre-optimized inference engines from NVIDIA and the community, including NVIDIA® TensorRT™ and TensorRT-LLM, NIM microservices optimize response latency and throughput for each combination of foundation model and GPU.