Hey @Piyush_Sinha1, to clarify a bit, embeddings are stored inside of your documents which are on disk. A Vector Search Index that is built on top of those embeddings are stored/persisted on disk as well, but when you execute a Vector Search query that index is brought into memory. For the best performance you will want to have enough memory free to bring the entire index into memory.
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