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Updated 4 months ago

Hi, I am using Vectorstoreindex and

Hi, I am using Vectorstoreindex and persisting it locally on disk and then storing them in cloud storage; I am handling multiple indices; one per user...
I observed; that is quite slow in retrieval and adding data to it; because have to fetch from cloud (storage) every time I have to read/add to it.
Is there any-way i can speed that up? probably using any other vector store options
I was looking at this article;
https://docs.llamaindex.ai/en/latest/module_guides/storing/vector_stores/#vector-store-options-feature-support

And it is using different databases; can anyone recommend/ comment on this. What would be good here?
L
s
4 comments
Probably any vector db integration will be an improvement
like; what would you suggest
are you talking about something like Vectara which is a managed vector db service
OR
using something like Mongo to store Indices?
@Logan M can you help with this πŸ˜…
I meant using something like qdrant, weaviate, chroma, etc
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