DeepLakeVectorStore

    vector_store = DeepLakeVectorStore(dataset_path=dataset_path, ingestion_batch_size=1024).add(nodes)

AttributeError: 'Node' object has no attribute 'node'

    if not medium_input or medium_input == '':
            print("The string is empty.")
    else:
            print("The string is not empty.")
            print(medium_input)
            
            publication = medium.publication(publication_slug=medium_input)
            
            medium_articles = medium.publication(publication_id=str(publication._id)).get_articles_between(_from=datetime.now(),_to=datetime.now() - timedelta(days=70))

            docs = []
            texts = ''
            # print("medium_articles bool", medium_articles[0].content)
            for article in medium_articles:
                document = article.content
                document = Document(article.content)
                new_dict = {key: article.info[key] for key in ['url', 'published_at', 'title']}
                document.extra_info = new_dict
                docs.append(document)


    parser = SimpleNodeParser()

    nodes = parser.get_nodes_from_documents(docs)

    print('nodes',nodes)


    dataset_path = f"hub://tali/{deeplake_datasets}"

    vector_store = DeepLakeVectorStore(dataset_path=dataset_path, ingestion_batch_size=1024).add(nodes)

index1 = GPTSimpleVectorIndex.from_documents(documents);

graph = ComposableGraph.from_indices(GPTListIndex, [index1], index_summaries=[index1_summary])

query_configs = [
    {
        "index_struct_type": "tree",
        "query_mode": "embedding",
        "query_kwargs": {
            "child_branch_factor": 5
        }
    }
]

response = graph.query("Provide a detailed answer the following quesiton based on the context. Never use the word context. If you dont know say i dont know. What is a Filecoin storage provider?", query_configs=query_configs)
print(response)

AttributeError: 'dict' object has no attribute 'index_structs'

storage_context = StorageContext.from_defaults(docstore=json_data_docstore)

storage_context = StorageContext.from_defaults(docstore=json_data_docstore,
    vector_store=json_data_vector,
    index_store=json_data_index)

storage_context = StorageContext.from_defaults(json_data_docstore,json_data_index,json_data_vector)

ConnectTimeout