* initial rough draft
* expose backend instead of extracting from model_kwargs
* explictly set backend model path
* add reno
* expose backend for ST diversity backend
* add dtype tests and expose kwargs to ST ranker for backend parameters
* skip dtype tests as torch isnt compiled with cuda
* add new openvino dependency release, unskip tests
* resolve suggestion
* mock calls, turn integrations into unit tests
* remove unnecessary test dependencies
* Use token instead of use_auth_token because of deprecation warning
* Fix test
* pylint
* fix linting
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Co-authored-by: Stefano Fiorucci <stefanofiorucci@gmail.com>
* Start adding model and tokenizer kwargs support
* Add model and tokenizer kwargs to doc embedder
* Some updates and fixes in tests
* Fix more tests
* Fix tests
* Add release note
* Fix test
* Add from_dict tests
* rename model parameter in the openai doc embedder
* fix tests for openai doc embedder
* rename model parameter in the openai text embedder
* fix tests for openai text embedder
* rename model parameter in the st doc embedder
* fix tests for st doc embedder
* rename model parameter in the st backend
* fix tests for st backend
* rename model parameter in the st text embedder
* fix tests for st text embedder
* fix docstring
* fix pipeline utils
* fix e2e
* reno
* fix the indexing pipeline _create_embedder function
* fix e2e eval rag pipeline
* pytest