vector_store = WeaviateVectorStore(weaviate_client=client)
# print(dir(vector_store))
storage_context = StorageContext.from_defaults(
vector_store=vector_store)
index = VectorStoreIndex.from_documents(
documents,
storage_context=storage_context
)
retriever = index.as_retriever(retriever_mode='embedding')
query_engine = RetrieverQueryEngine.from_args(
retriever, response_mode='no_text')When I am indexing using weaviate, other users are unable to query other indexes. Its like it locks up weaviate from responding? Is this a weaviate issue or because I am using LlamaIndex?
