Hello i am currently trying to query based off of recipe documents in my database. I have vectorized each document through the Pinecone vector store, although when i query a request such as, "salmon" for recipes i get low scores for the matches although there are plenty of similar recipes in the database. I wonder how i can get higher relevance scores?
How would I upsert nodes in parallel using VectorStoreIndex using pinecone, since i have so many nodes to upsert. I would of thought use_async would of upserted each batch in parallel but just upserts sequentially. index = VectorStoreIndex(nodes, storage_context=storage_context,use_async=True,insert_batch_size=1500)
