from llama_index.core import StorageContext, load_index_from_storage
from llama_index.core.embeddings import MockEmbedding

embed_model = MockEmbedding(embed_dim=8)
storage_context = StorageContext.from_defaults(
    persist_dir="support-index-storage"
)
index = load_index_from_storage(
    storage_context,
    embed_model=embed_model,
)
retriever = index.as_retriever(similarity_top_k=1)
result = retriever.retrieve("Which runbook covers refund ticket 7421?")[0]

print(result.node.get_content(metadata_mode="none"))