Blog
Informations pour les développeurs et articles pratiques de nos experts pour inspirer et dynamiser votre expérience de recherche
How to deploy Elasticsearch on an Azure Virtual Machine
Learn how to deploy Elasticsearch on Azure VM with Kibana for full control over your Elasticsearch setup configuration.
Elasticsearch open inference API adds support for Google’s Gemini models
Learn how to use the Elasticsearch open inference API with Google’s Gemini models for content generation, question answering, and summarization.
Building agentic applications with Elasticsearch and Microsoft’s Agent Framework
Learn how to use Microsoft Agent Framework with Elasticsearch to build an agentic application that extracts ecommerce data from Elasticsearch client libraries using ES|QL.
A new era for Elastic Discover: ES|QL, context & multi-tabs
Learn about the evolution of Elastic's Discover, covering ES|QL integration, context-aware querying, multi-exploration tabs, and the new CRUD experience in 9.2.
Low-memory benchmarking in DiskBBQ and HNSW BBQ
Benchmarking Elasticsearch latency, indexing speed, and memory usage for DiskBBQ and HNSW BBQ in low-memory environments.
Semantic search with GPU inference in Elastic
Learn how Elastic's EIS leverages GPU inference and ELSER to power fast, accurate semantic search.
Introducing a new vector storage format: DiskBBQ
Introducing DiskBBQ, an alternative to HNSW, and exploring when and why to use it.
Elastic's Kibana navigation refresh in 9.2 from user feedback
Learn how the Elastic team made it easier to navigate in Kibana 9.2 with an on-hover menu access, a visible menu in collapsed mode, and icon-driven navigation.
Deploying a multilingual embedding model in Elasticsearch
Learn how to deploy an e5 multilingual embedding model for vector search and cross-lingual retrieval in Elasticsearch.
Introducing Elastic Agent Builder
Introducing Elastic Agent Builder, a framework to easily build reliable, context-driven AI agents in Elasticsearch with your data.
Elastic MCP server: Expose Agent Builder tools to any AI agent
Discover how to use the built-in Elastic MCP server in Agent Builder to securely extend any AI agent with access to your private data and custom tools.
Parsing JSON fields in Elasticsearch
Learn how to parse JSON fields in Elasticsearch using an ingest pipeline to efficiently index, query, and aggregate JSON data.