Add Cohere Provider

[utkarsharma2]

This PR is part of our larger effort to add first-class integrations to support LLMOps that was presented at Airflow Summit. This PR specifically adds the Cohere Provider. Cohere is a renowned platform offering a range of AI Models tailored for various NLP tasks. In this iteration, we are integrating with their Embeddings Model.

The primary objective of this Provider is to present users with an alternative embedding model. This allows them to generate vectors for their proprietary data, a pivotal step towards establishing integrations with LLM models like ChatGPT.

Example DAG:
The CohereEmbeddingOperator can accept either a list of strings or a callable returning a list of strings.

from datetime import datetime

from airflow import DAG

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:
    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")

Email Discussion related to the effort can be found here - https://lists.apache.org/thread/0d669fmy4hn29h5c0wj0ottdskd77ktp

[phanikumv]

Do we need the .svg files to be added to this PR?

[utkarsharma2]

Do we need the .svg files to be added to this PR?

Yes, we do need to add them, as the provider dependency changes, the breeze output command interface also changes and that needs to be reflected. Also, they are auto-generated and enforced via update-breeze-cmd-output pre-commit hooks.