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README
= Elasticsearch Elasticsearch is a distributed search and analytics engine, scalable data store and vector database optimized for speed and relevance on production-scale workloads. Elasticsearch is the foundation of Elastic's open Stack platform. Search in near real-time over massive datasets, perform vector searches, integrate with generative AI applications, and much more. Use cases enabled by Elasticsearch include: https://www.elastic.co/search-labs/blog/retrieval-augmented-generation-rag[Retrieval Augmented Generation (RAG)] https://www.elastic.co/search-labs/blog/category/vector-search[Vector search] Full-text search Logs Metrics Application performance monitoring (APM) Security logs \... and more! To learn more about Elasticsearch's features and capabilities, see our https://www.elastic.co/products/elasticsearch[product page]. To access information on https://www.elastic.co/search-labs/blog/categories/ml-research[machine learning innovations] and the latest https://www.elastic.co/search-labs/blog/categories/lucene[Lucene contributions from Elastic], more information can be found in https://www.elastic.co/search-labs[Search Labs]. [[get-started]] == Get started The simplest way to set up Elasticsearch is to create a managed deployment with https://www.elastic.co/cloud/as-a-service[Elasticsearch Service on Elastic Cloud]. If you prefer to install and manage Elasticsearch yourself, you can download the latest version from https://www.elastic.co/downloads/elasticsearch[elastic.co/downloads/elasticsearch]. === Run Elasticsearch locally //// IMPORTANT: This content is replicated in the Elasticsearch repo. See run-elasticsearch-locally.asciidoc. Ensure both files are in sync. https://github.com/elastic/start-local is the source of truth. //// [WARNING] ==== DO NOT USE THESE INSTRUCTIONS FOR PRODUCTION DEPLOYMENTS. This setup is intended for local development and testing only. ==== Quickly set up Elasticsearch and Kibana in Docker for local development or testing, using the https://github.com/elastic/start-local?tab=readme-ov-file-try-elasticsearch-and-kibana-locally[start-local script]. ℹ️ For more detailed information about the start-local setup, refer to the https://github.com/elastic/start-local[README on GitHub]. ==== Prerequisites - If you don't have Docker installed, https://www.docker.com/products/docker-desktop[download and install Docker Desktop] for your operating system. - If you're using Microsoft Windows, then install https://learn.microsoft.com/en-us/windows/wsl/install[Windows Subsystem for Linux (WSL)]. ==== Trial license This setup comes with a one-month trial license that includes all Elastic features. After the trial period, the license reverts to Free and open - Basic. Refer to https://www.elastic.co/subscriptions[Elastic subscriptions] for more information. ==== Run start-local To set up Elasticsearch and Kibana locally, run the start-local script: [source,sh] ---- curl -fsSL https://elastic.co/st
Top issues
#149010[CI] UpgradeClusterClientYamlTestSuiteIT class failing183 comments · 2026-05-13#1242Changes API173 comments · 2011-08-13#91159Install elasticsearch with Homebrew on OSX Ventura86 comments · 2022-10-27#12366ignore_malformed to support ignoring JSON objects ingested into fields of the wrong type73 comments · 2015-07-21#56769[Ingest Pipeline] Ability to split documents66 comments · 2020-05-14#118583macOS 15.2 M4: Unable to launch Elasticsearch Docker container63 comments · 2024-12-12#10981support HTTP/2.062 comments · 2015-05-05#71205Deprecate and remove Multiple Data Paths56 comments · 2021-04-01
Latest release
Elasticsearch 9.5.6 v9.5.6 2026-11-02Downloads: https://elastic.co/downloads/elasticsearch Release notes: https://www.elastic.co/docs/release-notes/elasticsearchelasticsearch-9.5.6-release-notes