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Honestly just loading all vectors in-memory (and stuff like sqlite, pgvector) is totally fine when you're dealing with O(100k) vectors, but beyond that all the workable options like pinecone get gnarly, slow, and ridiculously expensive.

The best option by far I know of is turbopuffer.com , which is like 100x cheaper than pinecone and seems to actually scale.

Since it's not listed in the suggested vector dbs section of the slides, wanted to lob it in as a solid suggestion :)




There are options such as Google's ScaNN that may let you go farther before needing to consider specialized databases.

https://github.com/google-research/google-research/blob/mast...




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