File: 256eba7a77c8890a43afeda8ce8a3225.asciidoc

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python-elasticsearch 9.1.0-1
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// This file is autogenerated, DO NOT EDIT
// tab-widgets/semantic-search/generate-embeddings.asciidoc:54

[source, python]
----
resp = client.ingest.put_pipeline(
    id="my-text-embeddings-pipeline",
    description="Text embedding pipeline",
    processors=[
        {
            "inference": {
                "model_id": "sentence-transformers__msmarco-minilm-l-12-v3",
                "target_field": "my_embeddings",
                "field_map": {
                    "my_text_field": "text_field"
                }
            }
        }
    ],
)
print(resp)
----