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Set ELSER on EIS in tech preview
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solutions/search/semantic-search.md

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@@ -40,7 +40,7 @@ This diagram summarizes the relative complexity of each workflow:
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The simplest way to use NLP models in the {{stack}} is through the [`semantic_text` workflow](semantic-search/semantic-search-semantic-text.md). We recommend using this approach because it abstracts away a lot of manual work. All you need to do is create an index mapping to start ingesting, embedding, and querying data. There is no need to define model-related settings and parameters, or to create {{infer}} ingest pipelines.
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{applies_to}`stack: ga 9.1` We recommend using the ELSER model hosted on Elastic Inference Service (EIS) by setting the `inference_id` to `.elser-2-elastic` in your index mapping. For more details, see the ELSER on EIS guide.
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{applies_to}`stack: preview 9.1` The ELSER model hosted on Elastic Inference Service (EIS) is in Tech Preview. You can test it by setting the `inference_id` to `.elser-2-elastic` in your index mapping. For more details, see the ELSER on EIS guide.
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To learn more about supported services, refer to [](/explore-analyze/elastic-inference/inference-api.md) and the [{{infer}} API](https://www.elastic.co/docs/api/doc/elasticsearch/group/endpoint-inference) documentation.
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