utkarsharma2 commented on code in PR #34921:
URL: https://github.com/apache/airflow/pull/34921#discussion_r1360586036


##########
docs/apache-airflow-providers-cohere/operators/cohere.rst:
##########
@@ -0,0 +1,57 @@
+ .. 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:`~astronomer_providers_llm.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:
+
+Example Code:
+-------------
+
+.. code-block:: python
+
+    from datetime import datetime
+
+    from airflow import DAG
+
+    from astronomer_providers_llm.providers.cohere.operators.embedding import 
CohereEmbeddingOperator
+
+    with DAG("example_cohere_embedding", schedule=None, 
start_date=datetime(2023, 1, 1), catchup=False) as dag:
+        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.",
+        ]
+
+        def get_text():
+            return texts
+
+        CohereEmbeddingOperator(input_text=texts, task_id="embedding_via_text")
+        CohereEmbeddingOperator(input_callable=get_text, 
task_id="embedding_via_callable")

Review Comment:
   Moved it to system tests and referenced it from there. I think Example Dag 
`airflow/example_dags` only contains the core operators and not providers. 



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