Does the ingest pipeline support automatic embedding conversion from text to vectors?

I am looking for a way to automate the process of converting text to vector embeddings and storing them in an Elasticsearch index.

End Goal: The content should be stored in vector format, which I will later use for RAG.

Does anyone have any ideas?