| # embedder.py | |
| from sentence_transformers import SentenceTransformer | |
| # multilingual-e5-large modelini yükle | |
| model = SentenceTransformer("intfloat/multilingual-e5-large") | |
| def get_embedding(text: str) -> list[float]: | |
| try: | |
| formatted = f"passage: {text.strip()}" | |
| return model.encode(formatted, convert_to_numpy=True).tolist() | |
| except Exception as e: | |
| print(f"Embed hatası: {e}") | |
| return None | |