bamaer opened a new issue, #8441:
URL: https://github.com/apache/hop/issues/8441

   ### What would you like to happen?
   
   ### What would you like to happen?
   
   ### Background
   
   Hop can now split documents (#8415) and store vectors in pgvector (#8422), 
but nothing
   in between turns text into a vector. That leaves the retrieval chain broken 
at its
   middle step: chunk, **embed**, store.
   
   The `AiProvider` metadata type from #8330 already models the providers that 
serve
   embedding models, and `AiModelCatalog` can already classify a model as
   `ModelType.EMBEDDING`. What is missing is a way to call one.
   
   ### Proposal
   
   An `Embed text` transform that reads a text field, calls the embedding model 
of a
   selected `AiProvider`, and adds the vector to the row.
   
   One row in, one row out. The embedding is emitted either as a String holding 
a JSON
   array or as a field of the Vector value type (#8409), so it feeds pgvector 
upsert
   directly in both forms.
   
   Since `AiProvider` has no embedding support yet, this includes extending it 
to expose
   an embedding model alongside the existing chat model, which benefits any 
later
   transform that needs one.
   
   ### Options
   
   | Option | Notes |
   |---|---|
   | AI provider | `AiProvider` metadata object |
   | Model | Embedding model name, filtered to `ModelType.EMBEDDING` |
   | Input field | Text to embed |
   | Output field | Embedding, String or Vector |
   | Batch size | Embedding calls are per-request billed and rate limited |
   
   Rows that fail at the provider go to the error hop rather than stopping the 
pipeline,
   so one bad row does not lose a long indexing run.
   
   ### Scope
   
   The transform, embedding support on `AiProvider`, unit tests, integration 
tests against
   a local Ollama model, and a user manual page.
   
   Depends on #8330. Composes with #8409 and #8422 but does not require either.
   
   ### Issue Priority
   
   Priority: 2
   
   ### Issue Component
   
   Component: Transforms
   
   ### Issue Priority
   
   Priority: 2
   
   ### Issue Component
   
   Component: Transforms


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