Blogs

Entwickler-Einblicke und praktische Anleitungen von unseren Experten, um Ihr Sucherlebnis zu inspirieren und zu verbessern

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Elasticsearch Inference API adds open customizable service
Elasticsearch Labs

Elasticsearch Inference API adds open customizable service

Learn how to leverage the new custom service integration with the Elasticsearch Open Inference API for seamless REST API model integration.

Jonathan Buttner
Training LTR models in Elasticsearch with judgement lists based on user behavior data
Elasticsearch Labs

Training LTR models in Elasticsearch with judgement lists based on user behavior data

Learn how to use UBI data to create judgment lists to automate the training of your Learning to Rank (LTR) models in Elasticsearch.

Alexander Dávila
How to use the Synonyms UI to upload and manage Elasticsearch synonyms
Elasticsearch Labs

How to use the Synonyms UI to upload and manage Elasticsearch synonyms

Learn how to use the Synonyms UI in Kibana to create synonym sets and assign them to indices.

Jhon Guzmán
AI Agent evaluation: How Elastic tests agentic frameworks
Elasticsearch Labs

AI Agent evaluation: How Elastic tests agentic frameworks

Learn how we evaluate and test changes to an agentic system before releasing them to Elastic users to ensure accurate and verifiable results.

Susan Chang
Creating an AI agent with n8n and MCP
Elasticsearch Labs

Creating an AI agent with n8n and MCP

Exploring how to build a trend analytics agent with n8n while leveraging the Elasticsearch MCP server.

Gustavo Llermaly
Connecting Elastic Agents to Gemini Enterprise via A2A protocol
Elasticsearch Labs

Connecting Elastic Agents to Gemini Enterprise via A2A protocol

Learn how to use Agent Builder to expose your custom Elastic Agent to external services like Gemini Enterprise with the A2A protocol.

Jedr Blaszyk
How to reduce the number of shards in an Elasticsearch Cluster
Elasticsearch Labs

How to reduce the number of shards in an Elasticsearch Cluster

Learn how Elasticsearch shards affect cluster performance in this comprehensive guide, including how to get the shard count, change it from default, and reduce it if needed.

Alex Salgado
Multi-tenancy in Elastic Cloud on Kubernetes deployments: Example architectures
Elasticsearch Labs

Multi-tenancy in Elastic Cloud on Kubernetes deployments: Example architectures

Explore architectural strategies for multi-tenancy ECK deployments, including soft vs hard multi-tenancy, Kubernetes isolation, and Elastic operator considerations.

Lorenzo Soligo
Experiments in improving Agentic AI tools for Elasticsearch
Elasticsearch Labs

Experiments in improving Agentic AI tools for Elasticsearch

Learn how we improved AI agent workflows for Elasticsearch through iterative experiments by combining linear retrievers, hybrid search, and semantic_text for scalable RAG optimization.

Sean Story
How to deploy Elasticsearch on AWS Marketplace
Elasticsearch Labs

How to deploy Elasticsearch on AWS Marketplace

Learn how to set up and run Elasticsearch using Elastic Cloud Service on AWS Marketplace in this step-by-step guide.

Eduard Martin
AutoOps: A journey to simplify self-managed Elasticsearch management
Elasticsearch Labs

AutoOps: A journey to simplify self-managed Elasticsearch management

Exploring AutoOps for self-managed Elasticsearch ( on-prem or privately hosted environments). We’ll showcase its value, how to set it up, and the insights it provides.

Ori Shafir
CI/CD pipelines with agentic AI: How to create self-correcting monorepos
Elasticsearch Labs

CI/CD pipelines with agentic AI: How to create self-correcting monorepos

How our team introduced GenAI into CI pipelines to create self-correcting pull requests, automizing the update of hundreds of dependencies in large monorepos

Pablo Pérez Hidalgo