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Elasticsearch open inference API adds Azure AI Studio support

Elasticsearch open inference API now supports Azure AI Studio. Learn how to use Azure AI Studio capabilities with Elasticsearch in this blog.

Mark Hoy

Elasticsearch delivers performance increase for users running the Elastic Search AI Platform on Arm-based architectures

Benchmarking in preview provides Elasticsearch up to 37% better performance on Azure Cobalt 100 Arm-based VMs.

Yuvraj Gupta

Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure

Elasticsearch added a new vector search optimized profile to Elastic Cloud on Microsoft Azure. Get started and learn how to use it here.

Serena Chou

RAG & RBAC integration: Protect data and boost AI capabilities

Discover how Retrieval Augmented Generation (RAG) & Role-Based Access Control (RBAC) integrate to protect data and boost AI capabilities.

Jeff Vestal

Red Hat & Elastic: Red Hat OpenShift AI integration with Elasticsearch

Red Hat OpenShift users can now implement Elasticsearch for vector search & RAG applications via the Red Hat Ecosystem Catalog. Explore this integration here.

Aditya Tripathi

Making Elasticsearch and Lucene the best vector database: up to 8x faster and 32x efficient

Discover the recent enhancements and optimizations that notably improve vector search performance in Elasticsearch & Lucene vector database.

Mayya Sharipova

Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud

Elasticsearch's vector search optimized profile for GCP is available. Learn more about it and how to use it in this blog.

Serena Chou

Elasticsearch open inference API adds support for OpenAI chat completions

Learn how OpenAI chat completions and Elasticsearch can be used to summarize, translate or perform question & answering on any text.

Tim Grein

ChatGPT and Elasticsearch: Creating custom GPTs with Elastic data

Get started with custom GPTs using ChatGPT and Elasticsearch. Learn how to create custom GPTs that interact seamlessly with your Elasticsearch data.

Sandra Gonzales

RAG (Retrieval Augmented Generation) with LlamaIndex, Elasticsearch and Mistral

Learn how to implement a RAG (Retrieval Augmented Generation) system using LlamaIndex, Elasticsearch and locally running Mistral.

Srikanth Manvi

Elasticsearch open Inference API adds support for Cohere’s Rerank 3 model

“Learn about Cohere reranking, how to use Cohere's Rerank 3 model with the Elasticsearch open inference API and Elastic's roadmap for semantic reranking.”

Serena Chou

Building a RAG System With Gemma, Hugging Face & Elasticsearch

Follow this step-by-step guide to build a Retrieval Augmented Generation (RAG) system using Gemma, Hugging Face, and Elasticsearch.

Ashish Tiwari