retriever.py

from sentence_transformers import SentenceTransformer
import numpy as np
import time
from embedder import get_model

# Use the preloaded model from embedder instead of creating a new instance
def retrieve_chunks(index, texts, query, k=15):
    model = get_model()  # Use the preloaded model
    query_vec = model.encode([query])
    distances, indices = index.search(np.array(query_vec), k)
    results = [texts[i] for i in indices[0]]
    return results