Update semantic search tutorial to include instructions on using the …

solutions/search/semantic-search/semantic-search-semantic-text.md

@@ -43,6 +43,8 @@ PUT semantic-embeddings
 1. The name of the field to contain the generated embeddings.
 2. The field to contain the embeddings is a `semantic_text` field. Since no `inference_id` is provided, the default endpoint `.elser-2-elasticsearch` for the `elasticsearch` service is used. To use a different {{infer}} service, you must create an {{infer}} endpoint first using the [Create {{infer}} API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put) and then specify it in the `semantic_text` field mapping using the `inference_id` parameter.
 
+To try the ELSER model on the Elastic Inference Service, explicitly set the `inference_id` to `.elser-2-elastic`. For instructions, refer to [Using `semantic_text` with ELSER on EIS](https://www.elastic.co/docs/reference/elasticsearch/mapping-reference/semantic-text#using-elser-on-eis). 
+
 ::::{note}
 If you’re using web crawlers or connectors to generate indices, you have to [update the index mappings](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-indices-put-mapping) for these indices to include the `semantic_text` field. Once the mapping is updated, you’ll need to run a full web crawl or a full connector sync. This ensures that all existing documents are reprocessed and updated with the new semantic embeddings, enabling semantic search on the updated data.
 
@@ -156,4 +158,4 @@ POST /_query?format=txt
 
 * If you want to use `semantic_text` in hybrid search, refer to [this notebook](https://colab.research.google.com/github/elastic/elasticsearch-labs/blob/main/notebooks/search/09-semantic-text.ipynb) for a step-by-step guide.
 * For more information on how to optimize your ELSER endpoints, refer to [the ELSER recommendations](/explore-analyze/machine-learning/nlp/ml-nlp-elser.md#elser-recommendations) section in the model documentation.
-* To learn more about model autoscaling, refer to the [trained model autoscaling](../../../deploy-manage/autoscaling/trained-model-autoscaling.md) page.
+* To learn more about model autoscaling, refer to the [trained model autoscaling](../../../deploy-manage/autoscaling/trained-model-autoscaling.md) page.