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Turbopuffer is a fast search engine that combines vector and full-text search using object storage, making all your data easily searchable. Using only object storage for state and NVMe SSD with memory cache for compute, turbopuffer scales horizontally to handle billions of documents. The system caches only actively searched data while keeping the rest in low-cost object storage, offering competitive pricing. Cold queries process 1 million vectors in 500ms (p90), while warm queries take just 20ms (p50).
"It's been fun to work with @turbopuffer on this. Admittedly, keyword-based search never really worked great for issues, and the results from embedding+FTS are now actually useful. We'll also use …
"After switching our vector db to @turbopuffer, we're saving an order of magnitude in costs and dealing with far less complexity!"
"Having our data in turbopuffer makes us feel ready for whatever comes next in AI-enabled software. It gives us the confidence to adapt quickly."
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