jk-shah opened a new issue, #41308:
URL: https://github.com/apache/beam/issues/41308

   ### What would you like to happen?
   
   Expose Beam existing `RunInference` model handlers and `Enrichment` / RAG 
vector search integrations directly in Beam SQL (`SqlTransform`) via standard 
Table-Valued Functions `ML_PREDICT(...)` and `VECTOR_SEARCH(...)` (and 
corresponding `VectorSearch` YAML transform).
   
   ### Motivation
   Beam already provides `RunInference`, `apache_beam.ml.rag`, and 
`Enrichment`, whereas Flink 2.1/2.2 (`ML_PREDICT`, `VECTOR_SEARCH`) and 
Databricks (`ai_query()`) let users invoke real-time AI inference and vector 
similarity lookups inline inside SQL queries.


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