vikramkoka opened a new pull request, #65172:
URL: https://github.com/apache/airflow/pull/65172

   Here is a simple example for the common.ai provider based on public data 
which happens to be the Airflow 2025 Survey data.
   
   The goal is to demonstrate an interactive LLM use case which can be used to 
try out exploratory data analysis and then a scheduled LLM use case which would 
be more representative of expected usage.
   
   Both of these can be used by the developer as  starting points, where the 
data extraction and LLM prompts can be replaced with other integrations pulling 
other data sets.
   
   
   ---
   
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   * Read the **[Pull Request 
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 for more information. Note: commit author/co-author name and email in commits 
become permanently public when merged.
   * For fundamental code changes, an Airflow Improvement Proposal 
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
 is needed.
   * When adding dependency, check compliance with the [ASF 3rd Party License 
Policy](https://www.apache.org/legal/resolved.html#category-x).
   * For significant user-facing changes create newsfragment: 
`{pr_number}.significant.rst`, in 
[airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/newsfragments).
 You can add this file in a follow-up commit after the PR is created so you 
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