How-to guides for the semantic_text field type
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless
Generally available
Stack
9.0+
Generally available since 9.0
These guides provide procedure descriptions and examples for common tasks when working with semantic_text fields:
Set up and configure
semantic_textfields: Learn how to configure inference endpoints, including default endpoints, Jina on EIS, ELSER on EIS, third-party models on EIS, external inference, and dedicated endpoints for ingestion and search operations.Ingest data with
semantic_textfields: Learn how to index pre-chunked content, usecopy_toand multi-fields to collect values from multiple fields, and perform updates and partial updates to optimize ingestion costs.Search and retrieve
semantic_textfields: Learn how to querysemantic_textfields, retrieve indexed chunks, return field embeddings, and highlight the most relevant fragments from search results.