Elastic Search
by Elastic · CRM and customer experience · San Francisco, United States
A search database for AI powering search, security and observability applications.
Elasticsearch is described as the search database for AI, providing vector and hybrid search, reranking and GPU inference in one API. It underpins Elastic Security and Elastic Observability and is used by development teams to build search and AI applications and agents. It is delivered as part of Elastic's unified data platform covering ingestion, storage, retrieval, visualisation and agentic orchestration, and can run in the cloud, on-premises or serverless.
What Elastic Search does
- Vector and hybrid search
- Reranking
- GPU inference
- Chunking and embedding models
- Data ingestion and storage
- Agentic orchestration
What Elastic Search is used for
- Building AI applications and agents
- Full-text and vector search
- Powering SIEM and observability tools
About Elastic
Search database, SIEM, observability platform, and AI context engine for security and operations.
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Also by Elastic
- Elasticsearch: A distributed, RESTful search and analytics engine that powers search, observability, and security applications.
- Kibana: Visualization and dashboard tool for exploring and analyzing data stored in Elasticsearch.
- Elastic Agent Builder: Tool for building context-aware AI agents that incorporate enterprise data and deliver relevant outcomes.
- Elastic Security (SIEM): AI-driven security analytics platform for detecting, investigating, and responding to threats in real time.
- Elastic Observability: Agentic observability platform for logs, metrics and traces at reduced cost.
- AutoOps: Free cluster management utility providing real-time diagnostics, performance recommendations, and cost insights.
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Built by Vederca from public sources, last updated 2026-10-18.