when using the llama index example
from llama_index.readers.schema.base import Document
from llama_index import VectorStoreIndex
index = VectorStoreIndex([])
for chunk in doc.chunks():
index.insert(Document(text=chunk.to_context_text(), extra_info={}))
are the chunks converted to nodes??? I'm tyring to use pinecone but it requires documents or nodes for ingestion but this happens after the index is created
when using the llama index example from llama_index.readers.schema.base import Document from llama_index import VectorStoreIndex
index = VectorStoreIndex([]) for chunk in doc.chunks(): index.insert(Document(text=chunk.to_context_text(), extra_info={}))
are the chunks converted to nodes??? I'm tyring to use pinecone but it requires documents or nodes for ingestion but this happens after the index is created