ES|QL TEXT_EMBEDDING function

Generates dense vector embeddings from text input using an inference endpoint.

text

Text string to generate embeddings from. Must be a non-null literal string value.

inference_id

Identifier of an existing inference endpoint that will generate the embeddings. The inference endpoint must have the text_embedding task type and should use the same model that was used to embed your indexed data.

options Serverless Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability Generally available This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. Stack 9.5+ The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability Generally available since 9.5 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.

(Optional) Options for the inference request.

Generates dense vector embeddings from text input using a specified inference endpoint. Use this function to generate query vectors for KNN searches against your vectorized data or others dense vector based operations.

timeout Serverless Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability Generally available This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. Stack 9.5+ The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability Generally available since 9.5 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.

(keyword) Timeout for the inference request (e.g. "30s", "1m").

Generate text embeddings using the 'test_dense_inference' inference endpoint.

FROM dense_vector_text METADATA _score
| WHERE KNN(text_embedding_field, TEXT_EMBEDDING("be excellent to each other", "test_dense_inference"))