Categoria: AI

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Elasticsearch open inference API adds support for Azure OpenAI embeddings
Elasticsearch Labs
Vector DatabaseAI

Elasticsearch open inference API adds support for Azure OpenAI embeddings

Elasticsearch open inference API adds support for Azure OpenAI embeddings to be stored in the world's most downloaded vector database.

Mark Hoy
Elasticsearch open inference API adds support for Azure OpenAI chat completions
Elasticsearch Labs
AI

Elasticsearch open inference API adds support for Azure OpenAI chat completions

Azure OpenAI chat completions is available via the Elasticsearch inference API. Learn how to use this feature to answer questions.

Tim Grein
Elasticsearch open inference API adds Azure AI Studio support
Elasticsearch Labs
AIVector Database

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
Elasticsearch Labs
Vector DatabaseAIElastic Cloud Hosted

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 Labs
Vector DatabaseAIElastic Cloud Hosted

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
Elasticsearch Labs
AI

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
Elasticsearch Labs
Vector DatabaseAI

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
Elasticsearch Labs
Vector DatabaseAI

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 Labs
Vector DatabaseAIElastic Cloud Hosted

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
Elasticsearch Labs
AI

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
Elasticsearch Labs
AI

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
Elasticsearch Labs
AI

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

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