QQ on what is happening under the hood for step 6 this tutorial: https://gpt-index.readthedocs.io/en/latest/examples/low_level/ingestion.html#load-nodes-into-a-vector-store

So I thought vector_store.add(nodes) will add the embedding, metadata, along with the original text all to the pinecone vector DB, but upon inspecting on Pinecone console, it seems there is no content text stored, only embedding and metadata.

So my natural question is where is the content text stored? And how would they be joined together at retrieval step?