from app.services.vector_store import load_vector_store
from app.services.embedding_service import get_embedding_model
from langchain_text_splitters import RecursiveCharacterTextSplitter


embedding_model = get_embedding_model()
vector_store = load_vector_store(embedding_model)

data = vector_store.get()

for i, doc in enumerate(data["documents"]):
    print("\n====================")
    print(f"CHUNK {i}")
    print("====================")
    print(doc)