AttributeError: 'RecentlyUsedContainer' object has no attribute 'ContainerCls when #3
Description
I have this code here
content = document["content"]
doc = Document(text=content)
node_parser = HierarchicalNodeParser.from_defaults(chunk_sizes=chunk_size)
nodes = node_parser.get_nodes_from_documents([doc])
storage_context = StorageContext.from_defaults()
storage_context.docstore.add_documents(nodes)
index = VectorStoreIndex(nodes, storage_context=storage_context , embed_model=embed_model)
this is the error drilldown
`index = VectorStoreIndex(nodes, storage_context=storage_context , embed_model=embed_model)
Traceback (most recent call last):
File "C:\Users\abhay.saini\AppData\Local\Temp\ipykernel_18680\1374210055.py", line 1, in <cell line: 1>
index = VectorStoreIndex(nodes, storage_context=storage_context , embed_model=embed_model)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\indices\vector_store\base.py", line 75, in init
super().init(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\indices\base.py", line 94, in init
index_struct = self.build_index_from_nodes(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\indices\vector_store\base.py", line 308, in build_index_from_nodes
return self._build_index_from_nodes(nodes, **insert_kwargs)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\indices\vector_store\base.py", line 280, in _build_index_from_nodes
self._add_nodes_to_index(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\indices\vector_store\base.py", line 233, in _add_nodes_to_index
nodes_batch = self._get_node_with_embedding(nodes_batch, show_progress)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\indices\vector_store\base.py", line 141, in _get_node_with_embedding
id_to_embed_map = embed_nodes(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\indices\utils.py", line 138, in embed_nodes
new_embeddings = embed_model.get_text_embedding_batch(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\instrumentation\dispatcher.py", line 102, in wrapper
self.span_drop(*args, id=id, err=e, **kwargs)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\instrumentation\dispatcher.py", line 77, in span_drop
h.span_drop(*args, id=id, err=err, **kwargs)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\instrumentation\span_handlers\base.py", line 48, in span_drop
span = self.prepare_to_drop_span(*args, id=id, err=err, **kwargs)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\instrumentation\span_handlers\null.py", line 35, in prepare_to_drop_span
raise err
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\instrumentation\dispatcher.py", line 100, in wrapper
result = func(*args, **kwargs)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\core\base\embeddings\base.py", line 280, in get_text_embedding_batch
embeddings = self._get_text_embeddings(cur_batch)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\embeddings\voyageai\base.py", line 103, in _get_text_embeddings
return self._get_embedding(texts, input_type="document")
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\llama_index\embeddings\voyageai\base.py", line 65, in _get_embedding
return self._client.embed(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\voyageai\client.py", line 36, in embed
response = voyageai.Embedding.create(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\voyageai\api_resources\embedding.py", line 29, in create
response = super().create(*args, **kwargs)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\voyageai\api_resources\abstract\engine_api_resource.py", line 115, in create
response, _, api_key = requestor.request(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\voyageai\api_resources\api_requestor.py", line 289, in request
result = self.request_raw(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\voyageai\api_resources\api_requestor.py", line 533, in request_raw
_thread_context.session = _make_session()
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\voyageai\api_resources\api_requestor.py", line 88, in _make_session
s = requests.Session()
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\requests\sessions.py", line 450, in init
self.mount("https://", HTTPAdapter())
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\requests\adapters.py", line 155, in init
self.init_poolmanager(pool_connections, pool_maxsize, block=pool_block)
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\requests\adapters.py", line 192, in init_poolmanager
self.poolmanager = PoolManager(
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\urllib3\poolmanager.py", line 174, in init
explicitly.
File "C:\Users\abhay.saini\AppData\Local\Programs\Python\Python38\lib\site-packages\urllib3_collections.py", line 51, in init
# Full runtime checking of the contents of a Mapping is expensive, so for the
AttributeError: 'RecentlyUsedContainer' object has no attribute 'ContainerCls'`
these are the versions of voyageai
Name: voyageai
Version: 0.1.7