jedcunningham commented on code in PR #34921:
URL: https://github.com/apache/airflow/pull/34921#discussion_r1377667308


##########
tests/system/providers/cohere/example_cohere_embedding_operator.py:
##########
@@ -0,0 +1,49 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from __future__ import annotations
+
+from datetime import datetime
+
+from airflow import DAG
+from airflow.decorators import task
+from airflow.providers.cohere.operators.embedding import 
CohereEmbeddingOperator
+
+with DAG("example_cohere_embedding", schedule=None, start_date=datetime(2023, 
1, 1), catchup=False) as dag:
+    # [START howto_operator_cohere_embedding]
+    texts = [
+        "On Kernel-Target Alignment. We describe a family of global 
optimization procedures",
+        " that automatically decompose optimization problems into smaller 
loosely coupled",
+        " problems, then combine the solutions of these with message passing 
algorithms.",
+    ]
+
+    @task
+    def task_to_get_text():
+        return texts
+
+    def get_task():
+        return texts
+
+    CohereEmbeddingOperator(input_text=texts, task_id="embedding_via_text")
+    CohereEmbeddingOperator(input_text=task_to_get_text(), 
task_id="embedding_via_task")
+    CohereEmbeddingOperator(input_text=get_task(), 
task_id="embedding_via_callable")

Review Comment:
   I don't think there is much value in having this example - this isn't any 
different than the the first operator call here, as during parsing this will be 
resolved before being passed to the operator. (It'd be different if 
`input_text` could be a callable, e.g. `get_task` vs `get_task()`.)



##########
docs/apache-airflow-providers-cohere/operators/embedding.rst:
##########
@@ -0,0 +1,42 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+ ..   http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+
+.. _howto/operator:CohereEmbeddingOperator:
+
+CohereEmbeddingOperator
+========================
+
+Use the 
:class:`~airflow.providers.cohere.operators.embedding.CohereEmbeddingOperator` 
to
+interact with Cohere APIs to create embeddings for a given text.
+
+
+Using the Operator
+^^^^^^^^^^^^^^^^^^
+
+The CohereEmbeddingOperator requires the ``texts`` as an input to embedding 
API. Use the ``cohere_conn_id`` parameter to specify the Cohere connection to 
use to
+connect to your account.
+
+An example using the operator is in way:

Review Comment:
   My 2c, we can probably get rid of this whole sentence.



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