def get_metadata(filename):
   for item in metadata:
    if item["url"] == filename:
     return item
   return {}
documents = SimpleDirectoryReader(dir_documents, file_metadata=get_metadata).load_data()
node_parser = SentenceWindowNodeParser.from_defaults(window_size=3,window_metadata_key="window",original_text_metadata_key="original_text")
nodes = node_parser.get_nodes_from_documents(documents)
transformations = [title_extractor, qa_extractor]
neo4j_vector_store = Neo4jVectorStore(neo_username, neo_password, neo_url, embed_dim, hybrid_search=True, index_name=index_name)
storage_context = StorageContext.from_defaults(vector_store=neo4j_vector_store)
vector_index = get_vector_index(neo_username, neo_password, neo_url, embed_dim, index_name)
vector_index.insert_nodes(nodes, transformations=transformations, storage_context=storage_context)

node_postprocessors = [MetadataReplacementPostProcessor(target_metadata_key="window"),SimilarityPostprocessor(similarity_cutoff=0.5)]
index_query_engine = index.as_query_engine(similarity_top_k=doc_similarity_top_k, node_postprocessors=node_postprocessors)

# Filter all the FunctionTools from a module
    tools = [getattr(module, attr_name) for attr_name in dir(module)
        if isinstance(getattr(module, attr_name), FunctionTool)]

    query_engine_tool = QueryEngineTool(query_engine=query_engine, metadata=ToolMetadata(
    name='get_document_info',
    description=(f"Useful for extract information from documents.")))

    tools.append(query_engine_tool )

    agent_worker = FunctionCallingAgentWorker.from_tools(
        tools,
        verbose=True,
        system_prompt=system_prompt,
    )
    agent = AgentRunner(agent_worker)
    agent.chat(query)

index_schema = PropertyGraphIndex.from_documents(
            documents,
            kg_extractors=[kg_extractor],
            property_graph_store=pg_store,
            vec_store=vec_store,
            show_progress=True
        )

retriever = index_schema.as_retriever().retrieve(query)

AssertionError:

ValidationError: 1 validation error for EntityNode
name
  Input should be a valid string [type=string_type, input_value=None, input_type=NoneType]
    For further information visit https://errors.pydantic.dev/2.8/v/string_type