feat: support Trition with Nvidia embedders

[tstadel]

Related Issues

• support for Triton-hosted embedding models: e.g. almost any hugginface model can be hosted on Triton and thus make use of Triton's hosting and scaling features. This is especially helpful if you want to self-host arbitrary OpenSource models using NVIDIA's inference engines.

Proposed Changes:

• add Triton Backend support for NvidiaEmbedders

How did you test it?

• added tests
• ran integration tests locally against Triton Embedding endpoint
• sample embedding triton server can be hosted using

  docker run --gpus all -p 8000:8000 -p 8001:8001 -p 8002:8002 tstadelds/triton-embedding:intfloat-multilingual-e5-base-o4-v0.0.2

Notes for the reviewer

• template for creating Triton images can be found here: https://github.com/deepset-ai/nvidia-triton-inference

Checklist

• I have read the contributors guidelines and the code of conduct
• I have updated the related issue with new insights and changes
• I added unit tests and updated the docstrings
• I've used one of the conventional commit types for my PR title: fix:, feat:, build:, chore:, ci:, docs:, style:, refactor:, perf:, test:.