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* completely drop litellm and correctly pass config for qdrant * feat: add support for additional embedding models in EmbeddingService - Expanded the list of supported embedding models to include Google Vertex, Hugging Face, Jina, Ollama, OpenAI, Roboflow, Watson X, custom embeddings, Sentence Transformers, Text2Vec, OpenClip, and Instructor. - This enhancement improves the versatility of the EmbeddingService by allowing integration with a wider range of embedding providers. * fix: update collection parameter handling in CrewAIRagAdapter - Changed the condition for setting vectors_config in the CrewAIRagAdapter to check for QdrantConfig instance instead of using hasattr. This improves type safety and ensures proper configuration handling for Qdrant integration.