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db774b8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | from functools import lru_cache
import numpy as np
from sentence_transformers import SentenceTransformer
from src.models import Chunk
from src.config import EMBEDDING_MODEL
@lru_cache(maxsize=1)
def _load_model() -> SentenceTransformer:
return SentenceTransformer(EMBEDDING_MODEL)
def embed_chunks(chunks: list[Chunk]) -> list[list[float]]:
model = _load_model()
texts = [c.text for c in chunks]
embeddings = model.encode(texts, show_progress_bar=False)
return [e.tolist() for e in embeddings]
def embed_query(query: str) -> list[float]:
model = _load_model()
return model.encode(query).tolist()
def embedding_dimension() -> int:
model = _load_model()
return model.get_sentence_embedding_dimension()
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