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Integrations - Elasticsearch Labs

Integrations

Seamlessly connect with leading AI and machine learning platforms to enhance your search capabilities and drive powerful, intelligent applications with Elasticsearch.

Alibaba Cloud

Alibaba Cloud

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.

model Providers

Amazon Bedrock

Amazon Bedrock

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.

model Providers

Cohere

Cohere

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

model Providers

Google Vertex AI

Google Vertex AI

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.

model Providers

Hugging Face

Hugging Face

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.

model Providers

IBM watsonx

IBM watsonx

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.

model Providers

Jina AI

Jina AI

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

model Providers

LangChain

LangChain

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.

development Frameworks

LlamaIndex

LlamaIndex

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

development Frameworks

Microsoft Azure AI

Microsoft Azure AI

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

model Providers

Mistral

Mistral

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

model Providers

OpenAI

OpenAI

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

model Providers

Red Hat

Red Hat

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.

model Providers

Unstructured.io

Unstructured.io

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.

development Frameworks

Vectorize.io

Vectorize.io

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

development Frameworks

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