from llama_index.core import Document, Settings, VectorStoreIndex
from llama_index.core.embeddings import MockEmbedding


Settings.embed_model = MockEmbedding(embed_dim=8)

documents = [
    Document(text="Billing reviews refund requests.", metadata={"source": "billing"}),
    Document(text="Logistics reviews shipping claims.", metadata={"source": "shipping"}),
    Document(text="Trust reviews account closures.", metadata={"source": "trust"}),
]