ai-agents-knowledge-graph-inde-knowledgegraphindex-from-documents-raises-typeerro-3572d74c

THEN Move graph store-specific parameters like space_name, edge_types, rel_prop_names, tags to the NebulaGraphStore constructor, then create StorageContext with that store. Do not pass these kwargs to KnowledgeGraphIndex.from_documents.

from llama_index.core import StorageContext
from llama_index.graph_stores.nebula import NebulaGraphStore

graph_store = NebulaGraphStore(
    space_name='llamaindex',
    edge_types=['relationship'],
    rel_prop_names=['relationship'],
    tags=['entity']
)
storage_context = StorageContext.from_defaults(graph_store=graph_store)
kg_index = KnowledgeGraphIndex.from_documents(
    documents,
    storage_context=storage_context,
    max_triplets_per_chunk=10,
    include_embeddings=True
)