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Even on the production side there is something to be said about just doing things in memory, even over larger datasets. Certainly like all things there is a possible scale issue but I would much rather spin up a dedicated machine with a lot of memory than pay some of the wildly high fees for a Vector DB.

Not sure if others have gone down this path but I have been testing out ways to store vectors to disk in files for later retrieval and then doing everything in memory. For me the tradeoff of a sligtly slower response time was worth it compared to the 4-5 figure bill I would be getting from a vector DB otherwise.




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