I am using 1 S1 pod to upsert my 1024 dimension embeddings. According to the documentation, we can upload around 4 million vectors in S1 pod of 1024 dimension.
Why does my pod fullness go to 100% only with 183k vectors.
Hi @p22saurabhs. There are other factors that effect fullness than just vector count. That’s why we stress in the docs that anything referencing total count numbers is just a guideline.
The last fullness report I see for your index it was less than 1%. Can you share the screenshot where you saw your index was at 100% full? Also, do you see the same result when you run describe_index_stats() on the index?
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