Hi, question about construction of a property graph index. Right now, the docs mention only this:
index = PropertyGraphIndex.from_documents(
documents,
kg_extractors=[extractor1, extractor2, ...],
)
With the normal vector store index I can generate the nodes first (ie. per document)
nodes_A = pipeline.run(documents=[DocumentOne])
nodes_B = pipeline.run(documents=[DocumentTwo])
index = VectorStoreIndex(nodes_A + nodes_B)
Is there an analogous way to do the same thing with the property graph index? where you can do it document by document before constructing the full index?