Can't specify embedding model via API?

[scpedicini]

I've setup a txtai with the following configuration.

# config.yml
writable: true

embeddings:
  content: true
  defaults: false

  indexes:
    minilm:
      path: "sentence-transformers/all-MiniLM-L6-v2"
    
    nli:
      path: "sentence-transformers/nli-mpnet-base-v2"

I'm trying to get the vec embeddings of a given document using the API but cannot figure out how to specify the desired model, e.g.

curl -X GET "http://localhost:8000/transform?text=hello&index=nli"

[davidmezzetti]

Thank you for the write up on this.

Currently, the Embeddings instance doesn't have support for specifying the target index to use for the transform function. This would be a straightforward change and we can leave this issue open to add it in.