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Elasticsearch is a distributed search and analytics engine, scalable data store, and vector database built on Apache Lucene. It’s optimized for speed and relevance on production-scale workloads. Use Elasticsearch to search, index, store, and analyze data of all shapes and sizes in near real time. Kibana is the graphical user interface for Elasticsearch. It’s a powerful tool for visualizing and analyzing your data, and for managing and monitoring the Elastic Stack.

Elasticsearch is the heart of the Elastic Stack. Combined with Kibana, it powers these Elastic solutions and use cases:

• Elasticsearch: Build powerful search and RAG applications using Elasticsearch's vector database, AI toolkit, and advanced retrieval capabilities.
• Observability: Resolve problems with open, flexible, and unified observability powered by advanced machine learning and analytics.
• Security: Detect, investigate, and respond to threats with AI-driven security analytics to protect your organization at scale.

Quick start options

• Elastic Cloud: Get a hosted solution up and running in minutes.
  • Elastic Cloud Hosted: Our hosted Elastic Stack offering, deployed in the cloud with your provider of choice. Sign up for a 14-day free trial.
  • Elastic Cloud Serverless: Create serverless projects for autoscaled and fully managed Elastic deployments. Sign up for a 14-day free trial.
• Local development: Get started quickly with Elasticsearch and Kibana in Docker for local development and testing.

Advanced options

• Self-managed: Install, configure, and run Elastic on your own premises.
• Elastic Cloud Enterprise: Deploy Elastic Cloud on public or private clouds, virtual machines, or your own premises.
• Elastic Cloud on Kubernetes: Deploy Elastic Cloud on Kubernetes.

Elasticsearch supports diverse use cases. Select a solution and follow its dedicated getting-started guide:

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To learn more about our products and solutions, check out:

• Elasticsearch and Kibana, the core components of the Elastic Stack.
  • The stack to understand the relationship between core and optional components of an Elastic deployment.
• The out-of-the-box solutions and use cases that Elastic supports.
• Deploying Elastic for your use case.
• Versioning and availability in Elastic deployments.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

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