Just make sure that you don’t send the actual object to the LangChain Pinecone vector store code. Do this before you send the metadata object:
copy.deepcopy(metadata)
Just make sure that you don’t send the actual object to the LangChain Pinecone vector store code. Do this before you send the metadata object:
copy.deepcopy(metadata)
or just use, import pinecone and stay away from the LangChain.
batch_size = 90
for filename, embedding_metadata_pairs in data_dict.items():
for i in range(0, len(embedding_metadata_pairs), batch_size):
batch = embedding_metadata_pairs[i:i + batch_size]
batch_data = [(str(uuid.uuid4()), pair["embedding"], pair["metadata"]) for pair in batch]
pinecone_index.upsert(batch_data, BotNameSpace) # Adjusted line to match Pinecone's upsert method signature