| from langchain_huggingface import HuggingFaceEmbeddings |
|
|
| _MODEL_NAME = "all-MiniLM-L6-v2" |
| _embeddings = None |
|
|
|
|
| def get_embeddings() -> HuggingFaceEmbeddings: |
| """Shared embeddings instance, loaded once and reused by RAG and the evaluator.""" |
| global _embeddings |
| if _embeddings is None: |
| _embeddings = HuggingFaceEmbeddings(model_name=_MODEL_NAME) |
| return _embeddings |
|
|
|
|
| def get_sentence_transformer(): |
| """The raw SentenceTransformer behind the shared embeddings (used by the evaluator).""" |
| model = getattr(get_embeddings(), "client", None) |
| if model is None: |
| from sentence_transformers import SentenceTransformer |
| model = SentenceTransformer(_MODEL_NAME) |
| return model |
|
|
