Introduces opensearch_multimodel.py, a new component supporting multi-model hybrid search and ingestion in OpenSearch with dynamic vector fields, parallel embedding, and advanced filtering. Refactors embedding generation in opensearch.py to use tenacity-based retry logic and IBM/Watsonx rate limiting. Updates related flow JSONs to integrate the new component.
* Updated ollama components
* Changed ollama display name to be correct
* Changed prompt of provider validation
* removed event dispatched from file upload
* Changed onboarding to upload the entire knowledge
* Changed default models for ollama
* Changed flows and components to support different models
* Changed onboarding to redirect automatically
* Added new components and ids to settings
* Changed flows service to change llm text components as well
* changed models service to not remove : on ollama
* fix edge not connecting on nudges flow
