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Informations pour les développeurs et articles pratiques de nos experts pour inspirer et dynamiser votre expérience de recherche

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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