API quickstarts

Elastic Stack Serverless

Tip

Prefer working in Python? Check out our executable Python notebooks in the Elasticsearch Labs repository.

Use the following quickstarts to get hands-on experience with Elasticsearch APIs and tools:

Index and search data using Elasticsearch APIs: Learn about indices, documents, and mappings, and perform a basic search using the Query DSL.
Basic full-text search and filtering in Elasticsearch: Learn about different options for querying data, including full-text search and filtering, using the Query DSL.
Analyze eCommerce data with aggregations using Query DSL: 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: Learn how to combine semantic search usingsemantic_text with full-text search.
Bring your own dense vector embeddings: Learn how to ingest dense vector embeddings into Elasticsearch.

Note

To run the quickstarts, you need a running Elasticsearch cluster. Use start-local to set up a fast local dev environment in Docker, together with Kibana. Run the following command in your terminal:

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

Alternatively, refer to our other deployment options.