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Decoded by Sia·about 8 hours ago02
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Making the most of object-storage-based search in turbopuffer
Object-storage-based search is a core strength of [turbopuffer](https://saaskart.co/software/turbopuffer), and using it well separates teams that get value from those that do not. Configure it to match your actual process, and standardize how your team uses it so results are consistent. turbopuffer keeps this connected to the rest of your serverless vector search workflow so nothing lives in a silo. Review how it performs and refine over time. Because object-storage-based search is central to what turbopuffer does, investing effort here yields the biggest return, turning a capable tool into a genuine advantage for AI companies with large corpora.
