Blog
Informations pour les développeurs et articles pratiques de nos experts pour inspirer et dynamiser votre expérience de recherche
Hybrid search revisited: introducing the linear retriever in Elasticsearch!
Discover how the linear retriever enhances hybrid search by leveraging weighted scores and MinMax normalization for more precise and consistent rankings, and learn how to use it.
Creating judgement lists with Quepid
Learn how to create judgement lists in Quepid using a collaborative human rater process and use the benchmarks to tune your relevance.
Displaying fields in an Elasticsearch index
Exploring techniques for displaying fields in an Elasticsearch index.
How we rebuilt autocomplete for ES|QL
Discover how we rearchitected an autocomplete engine for ES|QL to support language evolution instead of resisting it.
First to hybrid search: with Elasticsearch and Semantic Kernel
Learn how use hybrid search and the Semantic Kernel connector with Elasticsearch to improve retrieval results.
Get set, build: Red Hat OpenShift AI applications powered by Elasticsearch vector database
Learn how to use Elasticsearch with the ‘AI Generation’ Validated Pattern to rapidly deploy secure, GitOps-driven RAG applications on Red Hat OpenShift.
Cracking the code on search quality: The role of judgment lists
Explore why a judgment list is essential, the different types of judgments, and the key factors that define search quality.
Elasticsearch in JavaScript the proper way, part II
Learn about production best practices and how to run the Elasticsearch Node.js client in Serverless environments to reduce coding errors.
How to optimize Elasticsearch disk space and usage
Learn how to prevent and handle cases when the Elasticsearch disk is too full (overutilization) and when the disk capacity is underutilized to optimize cluster costs.
Elasticsearch in JavaScript the proper way, part I
Explaining how to create a production-ready Elasticsearch backend in JavaScript. Explore how to use Elasticsearch with JavaScript to create a server with different search endpoints to query Elasticsearch documents following client/server best practices.
How to configure the number of replicas in an Elasticsearch index
Learn how to configure the number_of_replicas in an Elasticsearch index to improve search performance and provide resilience to node failure.