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@@ -107,7 +107,6 @@ PUT my-index-000003
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```
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### Using ELSER on EIS
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-
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```{applies_to}
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stack: preview 9.1
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serverless: preview
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@@ -223,6 +222,10 @@ generated from it. When querying, the individual passages will be automatically
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searched for each document, and the most relevant passage will be used to
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compute a score.
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+Chunks are stored as start and end character offsets rather than as separate
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+text strings. These offsets point to the exact location of each chunk within the
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+original input text.
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+
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For more details on chunking and how to configure chunking settings,
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see [Configuring chunking](https://www.elastic.co/docs/api/doc/elasticsearch/group/endpoint-inference)
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in the Inference API documentation.
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@@ -238,7 +241,8 @@ stack: ga 9.1
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You can pre-chunk the input by sending it to Elasticsearch as an array of
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strings.
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-Example:
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+
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+For example:
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```console
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PUT test-index
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@@ -540,7 +544,6 @@ POST test-index/_search
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This will return verbose chunked embeddings content that is used to perform
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semantic search for `semantic_text` fields.
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-
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## Limitations [limitations]
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`semantic_text` field types have the following limitations:
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