All Articles
Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure
Vector DatabaseGenerative AI

Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure

Elasticsearch adds a new vector search optimized profile to Elastic Cloud on Microsoft Azure.

Serena Chou

Jeff Vestal

Yuvraj Gupta

ChatGPT and Elasticsearch: Creating custom GPTs with Elastic data
Generative 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

ChatGPT and Elasticsearch: OpenAI meets private data
Generative AI

ChatGPT and Elasticsearch: OpenAI meets private data

Integrate Elasticsearch's search relevance with ChatGPT's question-answering capability to enhance your domain-specific knowledge base.

Jeff Vestal

ChatGPT and Elasticsearch: A plugin to use ChatGPT with your Elastic data
Generative AI

ChatGPT and Elasticsearch: A plugin to use ChatGPT with your Elastic data

Learn how to implement a plugin and enable ChatGPT users to extend ChatGPT with any content indexed in Elasticsearch, using the Elastic documentation.

Baha Azarmi

Elasticsearch open inference API adds support for Cohere Embeddings
IntegrationsHow ToVector Database

Elasticsearch open inference API adds support for Cohere Embeddings

Learn more about how to use Cohere embeddings with Elastic built search experiences!

Serena Chou

Jonathan Buttner

Dave Kyle

Elasticsearch open Inference API adds support for Cohere’s Rerank 3 model
IntegrationsHow ToVector DatabaseGenerative AI

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

“Elasticsearch integrates semantic reranking with Cohere’s Rerank models, with the inclusion of Rerank into our open Inference API.”

Serena Chou

Max Hniebergall

Elastic web crawler: Add search to your website
How ToIngestion

Elastic web crawler: Add search to your website

Learn through an example how to leverage the Elastic Web Crawler to crawl a website, ingest its content & prepare the data for search.

Lionel Palacin

Using Elasticsearch as a vector database for Azure OpenAI On Your Data
IntegrationsHow ToVector Database

Using Elasticsearch as a vector database for Azure OpenAI On Your Data

Explore how to quickly set up and ingest data into Elasticsearch for use as a vector database with Azure OpenAI On Your Data, enabling you to chat with your private data.

Paul Oremland

Elasticsearch open inference API adds support for Azure OpenAI chat completions
IntegrationsHow ToGenerative AI

Elasticsearch open inference API adds support for Azure OpenAI chat completions

Elasticsearch open inference API adds support for Azure Open AI chat completions, providing full developer access to the Azure AI ecosystem

Tim Grein

Elasticsearch open inference API adds support for OpenAI chat completions
IntegrationsHow ToGenerative 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

Red Hat extends collaboration with Elasticsearch vector database for Red Hat OpenShift AI
Vector DatabaseGenerative AI

Red Hat extends collaboration with Elasticsearch vector database for Red Hat OpenShift AI

Elasticsearch is now a preferred vector database solution on Red Hat OpenShift AI

Aditya Tripathi

Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud
Vector DatabaseGenerative AI

Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud

Elasticsearch adds a new vector search optimized profile for GCP.

Serena Chou

Jeff Vestal

Yuvraj Gupta

Generative AI using Elastic and Amazon SageMaker JumpStart
Generative AIIntegrations

Generative AI using Elastic and Amazon SageMaker JumpStart

Learn how to build a generative artificial intelligence (GAI) solution with Amazon SageMaker JumpStart, Elastic, and Hugging Face open source LLMs using the sample implementation provided in this post and a data set relevant to your business.

Uday Theepireddy

Ayan Ray

Exploring vector databases: how to get the best of lexical and AI-powered search with Elastic’s vector database
Vector Database

Exploring vector databases: how to get the best of lexical and AI-powered search with Elastic’s vector database

Learn about the concepts related to vector databases, how they work and how to get the best out of lexical & AI search with Elastic’s vector database.

Bernhard Suhm

Improving information retrieval in the Elastic Stack: Introducing Elastic Learned Sparse Encoder, our new retrieval model
ML Research

Improving information retrieval in the Elastic Stack: Introducing Elastic Learned Sparse Encoder, our new retrieval model

Deep learning has transformed how people retrieve information. We've created a retrieval model that works with a variety of text with streamlined processes to deploy it. Learn about the model's performance, its architecture, and how it was trained.

Thomas Veasey

Quentin Herreros

Accessing machine learning models in Elastic
Integrations

Accessing machine learning models in Elastic

Bring your own transformer models into Elastic to use optimized embedding models and NLP, or integrate with third-party transformer modes such as OpenAI GPT-4 via APIs to leverage more accurate, business-specific content based on private data stores.

Bernhard Suhm

Josh Devins

Introducing Elastic Learned Sparse Encoder: Elastic’s AI model for semantic search
ML Research

Introducing Elastic Learned Sparse Encoder: Elastic’s AI model for semantic search

Elastic Learned Sparse Encoder is an AI model for high relevance semantic search across domains. As a sparse vector model, it expands the query with terms that don't exist in the query itself, delivering superior relevance without domain adaptation.

Aris Papadopoulos

Gilad Gal

Retrieval of originating information in multi-vector documents
Vector Database

Retrieval of originating information in multi-vector documents

Learn more on how to link original context to a multi-vector document.

Gilad Gal

Stateless — your new state of find with Elasticsearch
ML Research

Stateless — your new state of find with Elasticsearch

Discover this future of stateless Elasticsearch. Learn how we’re investing in building a new fully cloud native architecture to push the boundaries of scale and speed.

Leaf Lin

Tim Brooks

Quin Hoxie

Vector search in Elasticsearch: The rationale behind the design
Vector DatabaseML Research

Vector search in Elasticsearch: The rationale behind the design

In this blog, you'll learn how vector search has been integrated into Elasticsearch and the trade-offs that we made.

Adrien Grand

Generative AI architectures with transformers explained from the ground up
ML ResearchGenerative AI

Generative AI architectures with transformers explained from the ground up

Here's how generative AI works from the ground up, including embeddings, transformer-encoder architecture, training/fine-tuning models & more.

Aris Papadopoulos