IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Quick starts

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Quick starts

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Use these quick starts to get hands-on experience with the Elasticsearch APIs. Unless otherwise noted, these examples will use queries written in Query DSL syntax.

Requirements

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You’ll need a running Elasticsearch cluster, together with Kibana to use the Dev Tools API Console. Run the following command in your terminal to set up a single-node local cluster in Docker:

curl -fsSL https://elastic.co/start-local | sh

Alternatively, refer to our other deployment options.

Hands-on quick starts

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Basics: Index and search data using Elasticsearch APIs. Learn about indices, documents, and mappings, and perform a basic search using the Query DSL.
Basics: Full-text search and filtering. Learn about different options for querying data, including full-text search and filtering, using the Query DSL.
Getting started: Learn how to query and aggregate your data using ES|QL.
Basics: Analyze ecommerce data with aggregations. Learn how to analyze data using different types of aggregations, including metrics, buckets, and pipelines.
Semantic search: Learn how to create embeddings for your data with semantic_text and query using the semantic query.
- Hybrid search with semantic_text: Learn how to combine semantic search with full-text search.
Bring your own dense vector embeddings: Learn how to ingest dense vector embeddings into Elasticsearch.

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