Loading weaviate

Plain Text

from llama_index import StorageContextload_index_from_storage
from llama_index.readers import WeaviateReader
from llama_index.vector_stores import WeaviateVectorStore

documents = SimpleDirectoryReader('test_doc').load_data()

storage_context = StorageContext.from_dict()

TypeError: StorageContext.from_dict() missing 1 required positional argument: 'save_dict'

i want to use weaviate vector store.

Plain Text

storage_context = StorageContext.from_dict(
     vector_store=WeaviateVectorStore(weaviate_client=weaviate_client),
)

Then i got an error
TypeError: StorageContext.from_dict() got an unexpected keyword argument 'vector_store'

If i use 'from_defaults' instead of 'from_dict' and weaviate vector store and trying to save in dict by using to_dict(). Then got value error

Plain Text

storage_context = StorageContext.from_defaults(
     vector_store=WeaviateVectorStore(weaviate_client=weaviate_client),
)

index = GPTVectorStoreIndex.from_documents(documents, storage_context=storage_context,service_context=service_context)
index.storage_context.to_dict()

ValueError: to_dict only available when using simple doc/index/vector stores

In previous versions of llama_index, we have save_to_disk, save_to_dict and save_to_string and similarly load from methods. Do we have save and load indices methods except load index persist in new version?

Find answers from the community

Loading weaviate